Prof. Vittal S. Rao Profile

Prof. Vittal S. Rao

at Texas Tech Univ

SPIE Involvement:

Author

Publications (50)

Proceedings Article | 30 March 2006 Paper

Self-organizing sensor sub-network protocol for structural health monitoring

Sibila Ratnaraj, Jagannathan Sarangapani, Vittal Rao

Proceedings Volume 6167, 61670K (2006) https://doi.org/10.1117/12.659441

KEYWORDS: Sensor networks, Sensors, Fusion energy, Antennas, Structural health monitoring, Head, Received signal strength, Wireless communications, Erbium, Environmental monitoring

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Proceedings Article | 5 August 2003 Paper

Health monitoring of adhesively bonded composite patch repair of aircraft structures using wavelet transforms of Lamb wave signals

Rabindranath Gubbala, Vittal Rao

Proceedings Volume 5056, (2003) https://doi.org/10.1117/12.484658

KEYWORDS: Wave propagation, Inspection, Wave plates, Wavelets, Wavelet transforms, Ultrasonics, Transducers, Nondestructive evaluation, Composites, Actuators

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Proceedings Article | 1 August 2003 Paper

Application of wavelet analysis in two-dimensional ultrasonic flaw detection

Anjani Achanta, Vittal Rao

Proceedings Volume 5046, (2003) https://doi.org/10.1117/12.484777

KEYWORDS: Wavelets, Ultrasonics, Signal processing, Wavelet transforms, Composites, Image processing, Signal detection, Transducers, Signal analyzers, Transform theory

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Proceedings Article | 1 August 2003 Paper

Decentralized controller design for smart structural systems

Pengxiang Liu, Vittal Rao

Proceedings Volume 5049, (2003) https://doi.org/10.1117/12.484762

KEYWORDS: Actuators, Control systems, Sensors, Systems modeling, Performance modeling, Computer aided design, Structural design, Computing systems, Matrices, Smart structures

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Proceedings Article | 1 August 2003 Paper

Self-organizing wireless sensor networks for structural health monitoring

Mohammed Basheer, Vittal Rao, Mark Derriso

Proceedings Volume 5049, (2003) https://doi.org/10.1117/12.484761

KEYWORDS: Sensor networks, Sensors, Bridges, Smart sensors, Structural health monitoring, Wireless communications, Network architectures, Signal processing, Failure analysis, Global Positioning System

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Proceedings Article | 22 July 2003 Paper

Distributed intelligence in wireless sensor networks

Vikram Shirgur, Vittal Rao

Proceedings Volume 5055, (2003) https://doi.org/10.1117/12.484660

KEYWORDS: Sensor networks, Parallel processing, Sensors, Distributed computing, Discrete wavelet transforms, Wavelet transforms, Telecommunications, Detection and tracking algorithms, Wavelets, Computing systems

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Proceedings Article | 15 July 2002 Paper

Structural integrity monitoring of composite patch repairs using wavelet analysis and neural networks

Venkata Amaravadi, Kyle Mitchell, Vittal Rao, Mark Derriso

Proceedings Volume 4701, (2002) https://doi.org/10.1117/12.474655

KEYWORDS: Wavelets, Composites, Neural networks, Aluminum, Finite element methods, Adhesives, Algorithm development, Data acquisition, Damage detection, Network architectures

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Proceedings Article | 11 July 2002 Paper

Lessons learned about wireless technologies for data acquistion

Kyle Mitchell, Vittal Rao, Hardy Pottinger

Proceedings Volume 4700, (2002) https://doi.org/10.1117/12.475047

KEYWORDS: Sensors, Algorithm development, Software development, Satellites, Telecommunications, Data processing, Intelligence systems, Transceivers, Fermium, Frequency modulation

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In recent years the electronics for developing sensor networks have become compact and cheaper. This has led to an interest in creating communities of distributed sensors that can collect and share data over a large area without being physically connected by wires. The Intelligent Systems Center at the University of Missouri-Rolla (UMR) has for several years been using commercial off-the-shelf (COTS) hardware and custom software to develop a system of stationary sensing nodes capable of pre processing their data locally and sharing processed data to produce global details. This distributed sensing and processing array is targeted for use in monitoring a wide variety of infrastructures. It has been laboratory tested for use in civil, automotive, and airframe monitoring. This paper is an overview of the technologies investigated and the level of functionality obtained from each hardware/sensor/target set. The current system consists of a web server, a central cluster and a collection of satellite clusters. The central cluster is a PC104 X 86 based computer with the satellite clusters being 8051 based single board computers. The satellite clusters are of the order 6 inch X 5 inch X 2 inch in size. There is an effort under way to place a short-range radio with a processor and a PZT sensor into a 2 inch X 1.5 inch X.5 inch package. Exercises have been carried out to demonstrate the ability of the central clusters to remotely control the satellite clusters and the web server's ability to control the central cluster. Further work is under way to integrate the entire system into a web server attached to the Internet and to a long distance communication device, currently employed is a cellular modem into the monitoring array. The web server communicates over standard phone lines to the central cluster, which is equipped with a cellular modem. The central cluster communicates with the satellite clusters using short-range wireless equipment. Proxim rangelan, Erickson Bluetooth, and Linx Technologies RF modules have all been tested as short-range wireless communication solutions. We have demonstrated a system that consists of a structure with an array of smart sensors, preprocess and collect data, and post this data on a web server for global inspection and manipulation. This will enable data sharing and collaborative data analysis to extend the knowledge of structural health monitoring.

Proceedings Article | 11 July 2002 Paper

Self-configurable digital controllers for smart structural systems using FPGAs

Venkat Satagopan, Vittal Rao, Kyle Mitchell, Hardy Pottinger

Proceedings Volume 4700, (2002) https://doi.org/10.1117/12.475036

KEYWORDS: Field programmable gate arrays, Digital signal processing, Logic, Control systems, Signal processing, Matrices, Transform theory, Device simulation, Computing systems, Smart structures

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Proceedings Article | 10 July 2002 Paper

Reduced order controllers for smart structural systems

Pengxiang Liu, Vittal Rao

Proceedings Volume 4693, (2002) https://doi.org/10.1117/12.475223

KEYWORDS: Chromium, Actuators, Direct methods, Control systems, Sensors, Matrices, Performance modeling, Ferroelectric materials, Numerical analysis, Linear filtering

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Proceedings Article | 10 July 2002 Paper

Active control of smart structures with optimal actuator and sensor locations

Pengxiang Liu, Vittal Rao, Mark Derriso

Proceedings Volume 4693, (2002) https://doi.org/10.1117/12.475204

KEYWORDS: Actuators, Sensors, Control systems, Ferroelectric materials, Smart structures, Curium, Computing systems, Analytical research, Bismuth, Smart materials

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Proceedings Article | 10 July 2002 Paper

Two-dimensional wavelet mapping techniques for damage detection in structural systems

Bruno Amizic, Venkat Amaravadi, Vittal Rao, Mark Derriso

Proceedings Volume 4693, (2002) https://doi.org/10.1117/12.475224

KEYWORDS: Wavelets, Wavelet transforms, Damage detection, Image resolution, Composites, Associative arrays, Analytical research, Signal detection, Detection and tracking algorithms, Digital signal processing

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Proceedings Article | 21 August 2001 Paper

Overview of control design methods for smart structural system

Vittal Rao, Sridhar Sana

Proceedings Volume 4326, (2001) https://doi.org/10.1117/12.436461

KEYWORDS: Control systems, Actuators, Sensors, Systems modeling, Smart structures, Control systems design, Signal processing, Digital signal processing, Field programmable gate arrays, Mathematical modeling

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Proceedings Article | 21 August 2001 Paper

Model reduction and robust control of smart structures with parametric uncertainties

Pengxiang Liu, Vittal Rao

Proceedings Volume 4326, (2001) https://doi.org/10.1117/12.436495

KEYWORDS: Smart structures, Actuators, Systems modeling, Feedback control, Matrices, Ferroelectric materials, Sensors, Control systems, Intelligence systems, Finite element methods

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Proceedings Article | 21 August 2001 Paper

Vibration isolation/suppression: research experience for undergraduates in mechatronics and smart structures

James Fonda, Vittal Rao, Sridhar Sana

Proceedings Volume 4326, (2001) https://doi.org/10.1117/12.436484

KEYWORDS: Device simulation, Analog electronics, Sensors, Control systems design, Control systems, Simulink, Vibration isolation, Actuators, Smart structures, Amplifiers

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Proceedings Article | 21 August 2001 Paper

Lower-order robust controller design for smart structures

Pengxiang Liu, Vittal Rao

Proceedings Volume 4326, (2001) https://doi.org/10.1117/12.436482

KEYWORDS: Performance modeling, Smart structures, Computer aided design, Structural design, Actuators, Matrices, Krypton, Reliability, Sensors, Solid modeling

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Proceedings Article | 16 August 2001 Paper

Structural health monitoring using wavelet transforms

Venkata Amaravadi, Vittal Rao, Leslie Koval, Mark Derriso

Proceedings Volume 4327, (2001) https://doi.org/10.1117/12.436537

KEYWORDS: Wavelets, Wavelet transforms, Damage detection, Signal detection, Structural health monitoring, Discrete wavelet transforms, Intelligence systems, Aluminum, Optical simulations, Velocity measurements

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Proceedings Article | 16 August 2001 Paper

Web-controlled wireless network sensors for structural health monitoring

Kyle Mitchell, Nghia Dang, Pengxiang Liu, Vittal Rao, Hardy Pottinger

Proceedings Volume 4334, (2001) https://doi.org/10.1117/12.436606

KEYWORDS: Sensors, Sensor networks, Data communications, Structural health monitoring, Data analysis, MATLAB, Algorithm development, Data acquisition, Transceivers, Damage detection

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Proceedings Article | 22 August 2000 Paper

Improved preprocessing and data clustering for land mine discrimination

Pramodh Mereddy, Sanjeev Agarwal, Vittal Rao

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396218

KEYWORDS: Neurons, Land mines, Sensors, Data processing, Machine learning, Signal to noise ratio, Sensor fusion, Detection and tracking algorithms, Feature extraction, Computer simulations

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Proceedings Article | 22 August 2000 Paper

Data fusion and evidence accumulation for land mine detection using the Dempster-Shafer algorithm

Karthik Ramaswamy, Sanjeev Agarwal, Vittal Rao

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396314

KEYWORDS: Sensors, Neural networks, Land mines, Sensor fusion, Mining, Data fusion, Reliability, Image fusion, MATLAB, Detection and tracking algorithms

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Proceedings Article | 22 June 2000 Paper

Structural health monitoring using parameter identification methods

Pengxiang Liu, Vittal Rao

Proceedings Volume 3985, (2000) https://doi.org/10.1117/12.388882

KEYWORDS: Motion models, Matrices, Systems modeling, System identification, Sensors, Structural health monitoring, Bridges, Computing systems, Finite element methods, Data modeling

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Proceedings Article | 22 June 2000 Paper

Damage detection using modal strain energy and laser vibrometer measurements

Andrew Otieno, Pengxiang Liu, Vittal Rao, Leslie Koval

Proceedings Volume 3985, (2000) https://doi.org/10.1117/12.388832

KEYWORDS: Damage detection, Matrices, Optical simulations, Analytical research, Laser energy, Structural health monitoring, Data modeling, Aluminum, Stars, Vibrometry

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Structural health monitoring for complex systems can contribute significantly to reduced life cycle costs. Many damage detection algorithms have been proposed in the literature for investigating the structural integrity of systems. Changes in modal strain energy have been used to detect the location and extent of damage in structures. In the previous studies, the stiffness matrix is analytically derived and assumed constant even after damage. This paper reports a study on the sensitivity of the modal strain energy method to the stiffness matrix and its accuracy in detecting the location and extent of damage. The modal strain energies for each element of the undamaged structure are computed for each mode using the original analytical matrix and measured modal data. Modal data from the damaged case is used to update the stiffness matrix by a simplified matrix update scheme. This updated matrix is used to correct the elemental matrices for the damaged system. Two case studies are presented in this work. The first is an experimental and analytical model of a cantilever beam and the second, a truss model of the European Space Agency. In the first case three identical aluminum cantilever beams are used. Damage is simulated on two of them by milling 1-inch long slots at two different locations on the beams. Modal data are obtained from experiment using Scanning Laser Vibrometer (SLV) and STAR software to extract the mode shape vectors from the experimental results. These are also compared with finite element simulations of the beams. The second case is an analytical example in which damage is simulated by reducing the area of one of the truss elements hypothetically by 50%. Results from these studies show a slight improved accuracy in determining the location of damage using an updated elemental stiffness matrix. For experimental results however, modal strain energy change method does not give an accurate location of the damages. There is need for further analysis of the application of modal strain energy techniques to damage identification. The results also demonstrate the potential of SLV as a structural health- monitoring tool.

Proceedings Article | 21 June 2000 Paper

Distributed computing and sensing for structural health monitoring systems

Kyle Mitchell, Sridhar Sana, Pengxiang Liu, Krishnamohan Cingirikonda, Vittal Rao, Hardy Pottinger

Proceedings Volume 3990, (2000) https://doi.org/10.1117/12.388896

KEYWORDS: Error control coding, Wireless communications, Data communications, Sensors, Structural health monitoring, Distributed computing, Network architectures, Data processing, Computer architecture, Neural networks

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Proceedings Article | 19 June 2000 Paper

Design of robust controllers for smart structural systems with structured uncertainties

Sridhar Sana, Vittal Rao

Proceedings Volume 3984, (2000) https://doi.org/10.1117/12.388806

KEYWORDS: Control systems, Smart structures, Actuators, Systems modeling, Aerospace engineering, Signal attenuation, Matrices, Sensors, Performance modeling, Analytical research

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Proceedings Article | 2 August 1999 Paper

Adaptive sensor data fusion architecture for land mine detection and discrimination

Sanjeev Agarwal, Pramodh Mereddy, Deepa Shah, Amitabha Dutta, Vittal Rao, Chris Baumgart

Proceedings Volume 3710, (1999) https://doi.org/10.1117/12.357001

KEYWORDS: Sensors, Land mines, Data fusion, Neural networks, Neurons, MATLAB, Binary data, Mining, Sensor fusion, Image sensors

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Proceedings Article | 20 July 1999 Paper

Microsensors for health monitoring of smart structures

Kyle Mitchell, Sridhar Sana, Venkataramanan Balakrishnan, Vittal Rao, Hardy Pottinger

Proceedings Volume 3673, (1999) https://doi.org/10.1117/12.354289

KEYWORDS: Sensors, Smart structures, Smart sensors, Data communications, Analog electronics, Wireless communications, Signal processing, Matrices, Transceivers, Data conversion

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Proceedings Article | 20 July 1999 Paper

Distributed arithmetic implementation of multivariable controllers using field programmable gate arrays

Lingfeng Yuan, Sridhar Sana, Hardy Pottinger, Vittal Rao

Proceedings Volume 3673, (1999) https://doi.org/10.1117/12.354276

KEYWORDS: Field programmable gate arrays, Logic, Clocks, Sensors, Actuators, Device simulation, Control systems, Digital signal processing, Matrices, Signal processing

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Proceedings Article | 4 June 1999 Paper

Robust control of input-limited smart structural systems

Sridhar Sana, Vittal Rao

Proceedings Volume 3667, (1999) https://doi.org/10.1117/12.350087

KEYWORDS: Control systems, Smart structures, Feedback control, Actuators, Matrices, Sensors, Intelligence systems, Nano opto mechanical systems, Computing systems, Copper

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Proceedings Article | 31 May 1999 Paper

Detection and characterization of damage in composite plates using shearography and wave-based acoustic emission techniques

Anthony Okafor, Andrew Otieno, Vittal Rao, R. Parvataneni

Proceedings Volume 3670, (1999) https://doi.org/10.1117/12.349757

KEYWORDS: Composites, Shearography, Sensors, Acoustic emission, Signal processing, Fringe analysis, Damage detection, Nondestructive evaluation, Calibration, Aerospace engineering

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Proceedings Article | 4 September 1998 Paper

New sensors and sensor fusion for a ground-based land mine detection system

O. Robert Mitchell, Thomas Herrick, David Summers, Richard Rechtien, James Drewniak, Srinivasa Somu, Sriram Srinivasan, Vittal Rao, Randy Moss, Richard DuBroff

Proceedings Volume 3392, (1998) https://doi.org/10.1117/12.324159

KEYWORDS: Land mines, Sensors, Electromagnetic coupling, Acoustics, Antennas, Mining, Sensor fusion, Infrared imaging, Infrared radiation, Reflection

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Proceedings Article | 4 September 1998 Paper

Detection and identification of potential land mine hazards by waterjet use

O. Robert Mitchell, Thomas Herrick, David Summers, John Stuller, Robert Denier, Shixi Qiu, Scott Bloomquist, Vittal Rao

Proceedings Volume 3392, (1998) https://doi.org/10.1117/12.324252

KEYWORDS: Land mines, Acoustics, Mining, Signal detection, Statistical analysis, Signal processing, Signal generators, Target detection, Metals, Data analysis

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Proceedings Article | 27 July 1998 Paper

Robust feedback control of sound radiation into a closed cavity

Timothy Siedlecki, Vittal Rao, Leslie Koval

Proceedings Volume 3329, (1998) https://doi.org/10.1117/12.316898

KEYWORDS: Interference (communication), Device simulation, Sensors, Signal detection, Feedback control, Control systems, Systems modeling, Actuators, Electronic filtering, Denoising

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Proceedings Article | 24 July 1998 Paper

Actuator-limited robust controller design for smart structures using linear matrix inequalities

Sridhar Sana, Vittal Rao

Proceedings Volume 3323, (1998) https://doi.org/10.1117/12.316317

KEYWORDS: Control systems design, Smart structures, Control systems, Actuators, Intelligence systems, Matrices, Structural design, Ferroelectric materials, Sensors, Vibration control

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Proceedings Article | 20 July 1998 Paper

Multivariable controller implementation using field programmable gate arrays

Vittal Rao, Hardy Pottinger, Jamie Kelly, Lingfeng Yuan, Srivatsan Varadharajan

Proceedings Volume 3328, (1998) https://doi.org/10.1117/12.320181

KEYWORDS: Field programmable gate arrays, Logic, Smart structures, Digital signal processing, MATLAB, Binary data, Device simulation, Matrices, Mathematical modeling, Clocks

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Proceedings Article | 17 June 1998 Paper

Damage detection of bridgelike structures using neural networks

Javier Valentin-Sivico, Vittal Rao, Vasudha Samanthula

Proceedings Volume 3325, (1998) https://doi.org/10.1117/12.310602

KEYWORDS: Damage detection, Neural networks, System identification, Systems modeling, Detection and tracking algorithms, Matrices, Algorithm development, Evolutionary algorithms, Computing systems, Intelligence systems

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Proceedings Article | 19 June 1997 Paper

Design and implementation of digital controllers for smart structures using field-programmable gate arrays

Jamie Kelly, Hiroshi Bowman, Vittal Rao, Hardy Pottinger

Proceedings Volume 3046, (1997) https://doi.org/10.1117/12.276620

KEYWORDS: Field programmable gate arrays, Transform theory, Quantization, Sensors, Matrices, Digital signal processing, Digital filtering, Device simulation, Actuators, Binary data

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Implementation issues represent an unfamiliar challenge to most control engineers, and many techniques for controller design ignore these issues outright. Consequently, the design of controllers for smart structural systems usually proceeds without regard for their eventual implementation, thus resulting either in serious performance degradation or in hardware requirements that squander power, complicate integration, and drive up cost. The level of integration assumed by the Smart Patch further exacerbates these difficulties, and any design inefficiency may render the realization of a single-package sensor-controller-actuator system infeasible. The goal of this research is to automate the controller implementation process and to relieve the design engineer of implementation concerns like quantization, computational efficiency, and device selection. We specifically target Field Programmable Gate Arrays (FPGAs) as our hardware platform because these devices are highly flexible, power efficient, and reprogrammable. The current study develops an automated implementation sequence that minimizes hardware requirements while maintaining controller performance. Beginning with a state space representation of the controller, the sequence automatically generates a configuration bitstream for a suitable FPGA implementation. MATLAB functions optimize and simulate the control algorithm before translating it into the VHSIC hardware description language. These functions improve power efficiency and simplify integration in the final implementation by performing a linear transformation that renders the controller computationally friendly. The transformation favors sparse matrices in order to reduce multiply operations and the hardware necessary to support them; simultaneously, the remaining matrix elements take on values that minimize limit cycles and parameter sensitivity. The proposed controller design methodology is implemented on a simple cantilever beam test structure using FPGA hardware. The experimental closed loop response is compared with that of an automated FPGA controller implementation. Finally, we explore the integration of FPGA based controllers into a multi-chip module, which we believe represents the next step towards the realization of the Smart Patch.

Proceedings Article | 13 June 1997 Paper

Vibration suppression of smart structural systems using predictive control

Rodney Nelson, Steven Glover, Vittal Rao

Proceedings Volume 3039, (1997) https://doi.org/10.1117/12.276553

KEYWORDS: Control systems, Sensors, Systems modeling, Actuators, Device simulation, Algorithm development, Matrices, Control systems design, Detection and tracking algorithms, Aluminum

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Proceedings Article | 13 June 1997 Paper

Real-time adaptive control of nonlinear smart structural systems using neural networks

Rajendra Damle, Vittal Rao

Proceedings Volume 3039, (1997) https://doi.org/10.1117/12.276575

KEYWORDS: Neural networks, Complex systems, Nonlinear control, Control systems, Actuators, Analog electronics, Device simulation, Sensors, Adaptive control, Dynamical systems

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Proceedings Article | 23 May 1997 Paper

Health monitoring of bridgelike structures using state variable models

Javier Valentin-Sivico, Vittal Rao, Leslie Koval

Proceedings Volume 3043, (1997) https://doi.org/10.1117/12.274639

KEYWORDS: Damage detection, Neural networks, Matrices, System identification, Civil engineering, Structural dynamics, Computer simulations, Algorithm development, Network architectures, Detection and tracking algorithms

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Proceedings Article | 31 May 1996 Paper

Control of linear smart structural systems using neural networks

Rajendra Damle, Vittal Rao

Proceedings Volume 2715, (1996) https://doi.org/10.1117/12.240808

KEYWORDS: Analog electronics, Neural networks, Sensors, Control systems, Actuators, Device simulation, Ferroelectric polymers, Systems modeling, Ferroelectric materials, Dynamical systems

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Proceedings Article | 31 May 1996 Paper

Incorporation of structured uncertainties in a smart structural system identification technique

Robert Butler, Vittal Rao

Proceedings Volume 2715, (1996) https://doi.org/10.1117/12.240790

KEYWORDS: Systems modeling, System identification, Control systems design, Sensors, Matrices, Control systems, Actuators, Data modeling, Analog electronics, Mathematical modeling

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Proceedings Article | 22 April 1996 Paper

Robust control of seismic structures using independent modal-space techniques

Kerry Martin, Vittal Rao, Franklin Cheng

Proceedings Volume 2719, (1996) https://doi.org/10.1117/12.238837

KEYWORDS: Control systems, Actuators, Mathematical modeling, Digital signal processing, Systems modeling, Motion models, Structural design, Data modeling, Sensors, Intelligence systems

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Active robust structural controls have been utilized in the control of aerospace structures for many years but they have only been recently investigated in the context of control for civil engineering structures. The results of an investigation of the utilization of these methods on building-like structures are presented in this paper. The closed-loop systems take into account the limited available actuation force and are inherently insensitive to parameter variations and modeling uncertainties. Independent modal-space control (IMSC) is a structural control technique where the multi-input-multi-output configuration-space system is transformed into a set of uncoupled single-input-single-output modal-space systems. A modal controller is designed for each modal-space system and the set of modal controllers is transformed back into configuration-space. By combining IMSC with robust control techniques such as LQG/LTR or H_(infinity ), a robust structural control design technique is proposed in this paper. Robust IMSC techniques are employed for control of seismic structures where a small number of actuators are used to control the first few modes of the structure. We have designed and implemented robust IMSC controllers on an experimental building-like structure. This structure utilizes torque motor driven active tendons as actuators and rests on a shaking table which is capable of providing one dimensional base excitation similar to earthquake ground motion. A three input-three output model of the structure, including the torque motor actuators, was developed using experimental data. The experimental structural identification technique, based on standard modal analysis methods, provides the mathematical model that describes the behavior of the structure. An H_(infinity ) based IMSC controller has been designed and implemented on this structure using a dSPACE control development system. The results show that the performance of the system is satisfactory in the presence of unmodeled dynamics, parameter variations, and disturbance inputs.

Proceedings Article | 5 May 1995 Paper

Control of smart structures using analog neural network hardware

Rajendra Damle, Vittal Rao, Steven Glover, Frank Kern

Proceedings Volume 2442, (1995) https://doi.org/10.1117/12.208860

KEYWORDS: Neural networks, Analog electronics, Smart structures, Sensors, Ferroelectric materials, Ferroelectric polymers, Control systems, Device simulation, Neurons, Network architectures

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Proceedings Article | 5 May 1995 Paper

Identification and control of two-dimensional smart structures using distributed sensors

Robert Butler, Vittal Rao

Proceedings Volume 2442, (1995) https://doi.org/10.1117/12.208878

KEYWORDS: Sensors, Ferroelectric polymers, System identification, Feedback control, Smart structures, Actuators, Control systems, Analog electronics, Device simulation, Ferroelectric materials

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Proceedings Article | 20 April 1995 Paper

Control of sound transmission into a closed cavity using smart structures

Michael Hill, Phil Chrissos, Leslie Koval, Vittal Rao, Frank Kern

Proceedings Volume 2444, (1995) https://doi.org/10.1117/12.207674

KEYWORDS: Device simulation, Feedback control, Acoustics, Sensors, Data modeling, Finite element methods, Smart structures, Actuators, Optical filters, Systems modeling

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Proceedings Article | 2 February 1995 Paper

State measurement and system identification of a cantilever beam using distributed polyvinylidene fluoride (PVDF) film sensors

Robert Butler, Vittal Rao

Proceedings Volume 2427, (1995) https://doi.org/10.1117/12.200934

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Proceedings Article | 6 May 1994 Paper

Controller implementation on infinite order structural systems using distributed sensors

Robert Butler, Vittal Rao, Leslie Koval

Proceedings Volume 2190, (1994) https://doi.org/10.1117/12.175196

KEYWORDS: Sensors, Finite element methods, Ferroelectric polymers, Ferroelectric materials, Device simulation, Actuators, Distributed computing, Chemical elements, Linear filtering, Control systems

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Proceedings Article | 1 May 1994 Paper

Hoo optimal control of smart structures

Robert Lashlee, Vittal Rao, Frank Kern

Proceedings Volume 2192, (1994) https://doi.org/10.1117/12.174207

KEYWORDS: Smart structures, Algorithm development, Actuators, Shape memory alloys, Device simulation, Control systems, Sensors, Computer simulations, Matrices, Electrical engineering

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Proceedings Article | 22 July 1993 Paper

Identification and robust control of flexible structures using shape memory actuators

Robert Lashlee, Rajendra Damle, Vittal Rao, Frank Kern

Proceedings Volume 1919, (1993) https://doi.org/10.1117/12.148419

KEYWORDS: Actuators, Mathematical modeling, Smart structures, Sensors, Mathematics, System identification, Systems modeling, Shape memory alloys, Data modeling, Matrices

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Proceedings Article | 22 July 1993 Paper

Modeling and robust control of smart structures

Chris Tebbe, Tim Schroeder, Robert Butler, Vittal Rao, Leslie Koval, Frank Kern

Proceedings Volume 1919, (1993) https://doi.org/10.1117/12.148420

KEYWORDS: Sensors, Smart structures, Actuators, Data modeling, Finite element methods, Mathematical modeling, Mathematics, Bridges, Systems modeling, Shape memory alloys

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