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Neural Network Control of Nonlinear Discrete-Time Systems (Automation and Control Engineering) de Jagannathan Sarangapani
Descripción - Reseña del editor Intelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed and accuracy in the face of severe nonlinearities, disturbances, unforeseen dynamics, and unstructured uncertainties. Artificial neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control methods in more complex systems.Borrowing from BiologyExamining neurocontroller design in discrete-time for the first time, Neural Network Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. At every step, the author derives rigorous stability proofs and presents simulation examples to demonstrate the concepts.Progressive DevelopmentAfter an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a framework for implementing intelligent control in actual industrial systems using embedded hardware.Neural Network Control of Nonlinear Discrete-Time Systems fosters an understanding of neural network controllers and explains how to build them using detailed derivations, stability analysis, and computer simulations.
Detalles del Libro
- Name: Neural Network Control of Nonlinear Discrete-Time Systems (Automation and Control Engineering)
- Autor: Jagannathan Sarangapani
- Categoria: Libros,Ciencias, tecnología y medicina,Tecnología e ingeniería
- Tamaño del archivo: 16 MB
- Tipos de archivo: PDF Document
- Descargada: 714 times
- Idioma: Español
- Archivos de estado: AVAILABLE
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Neural network control of nonlinear discretetime systems get this from a library neural network control of nonlinear discretetime systems jagannathan sarangapani after an introduction to neural networks dynamical systems control of nonlinear systems and feedback linearization the book builds systematically from actuator nonlinearities and strict feedback
Discrete neural network control springerlink zhang j ge ss lee th 2002 direct rbf neural network control of a class of discretetime nonaffine nonlinear systems in proceedings of the american control conference pp 424429 google scholar
Discretetime neural network output feedback control of he has coauthored more than 180 refereed conference and juried journal articles and several book chapters and three books entitled neural network control of robot manipulators and nonlinear systems published by taylor amp francis london in 1999 discretetime neural network control of nonlinear discretetime systems published by crc press april 2006 and wireless ad hoc and
Neural networkbased control of nonlinear discretetime operations research systems engineering and industrial engineering commons recommended citation j sarangapani et al neural networkbased control of nonlinear discretetime systems in nonstrict form proceedings of the 44th ieee conference on decision and control and the european control
Neural network control of nonlinear discretetime systems get this from a library neural network control of nonlinear discretetime systems jagannathan sarangapani examining neurocontroller design in discretetime for the first time neural network control of nonlinear discretetime systems presents powerful modern control techniques based on the parallelism
Adaptive control of a class of nonlinear discretetime adaptive control of a class of nonlinear discretetime systems using neural networks fuchuang chen member zeee and hassan k kha fellow zeee abstracrlayered neural networks are used in a nonlinear selftoning adaptive control problem the plant is an unknown feedbackhearimble discretetime system qted by an inputut model
Neural network control of nonliner discretetime systems control engineering v21 tj213 the increasing complexity of aerospace engineering automotive technology military and industrial systems have rendered traditional feedback control systems increasingly less able to meet desired performance requirements thus sparking interest in intelligent control systems using artificial neural networks fuzzy logic and genetic algorithms
Neural network control of nonlinear discretetime systems after an introduction to neural networks dynamical systems control of nonlinear systems and feedback linearization the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback system identification model reference adaptive control and novel optimal control using the hamiltonjacobibellman formulation
Neural network control of nonlinear discretetime systems neural network control of nonlinear discretetime systems fosters an understanding of neural network controllers and explains how to build them using detailed derivations stability analysis and computer simulations