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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, tecnologĂa y medicina,TecnologĂa e ingenierĂa
- Tamaño del archivo: 10 MB
- Tipos de archivo: PDF Document
- Descargada: 714 times
- Idioma: Español
- Archivos de estado: AVAILABLE
[Download] Neural Network Control of Nonlinear Discrete-Time Systems (Automation and Control Engineering) de Jagannathan Sarangapani Ebooks, PDF, ePub
Neural Network Control of Nonlinear Discrete-Time Systems ~ Neural Network Control of Nonlinear Discrete-Time Systems (Automation and Control Engineering) [Sarangapani, Jagannathan] on . *FREE* shipping on qualifying offers. Neural Network Control of Nonlinear Discrete-Time Systems (Automation and Control Engineering)
Neural network control of nonlinear discrete-time systems ~ Get this from a library! Neural network control of nonlinear discrete-time 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 discrete-time non-affine nonlinear systems. In: Proceedings of the American control conference, pp 424â429 Google Scholar
Discrete-time 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 âNeural network control of robot manipulators and nonlinear systemsâ, published by Taylor & Francis, London in 1999, âDiscrete-time neural network control of nonlinear discrete-time systemsâ published by CRC Press, April 2006 and âWireless Ad Hoc and .
Neural Network-Based Control of Nonlinear Discrete-Time ~ Operations Research, Systems Engineering and Industrial Engineering Commons Recommended Citation J. Sarangapani et al., "Neural Network-Based Control of Nonlinear Discrete-Time Systems in Non-Strict Form," Proceedings of the 44th IEEE Conference on Decision and Control and the European Control
Neural network control of nonlinear discrete-time systems ~ Get this from a library! Neural network control of nonlinear discrete-time systems. [Jagannathan Sarangapani] -- "Examining 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 .
Adaptive control of a class of nonlinear discrete-time ~ Adaptive Control of a Class of Nonlinear Discrete-Time Systems Using Neural Networks Fu-Chuang Chen, Member, ZEEE, and Hassan K. Kha, Fellow, ZEEE, Abstracr-Layered neural networks are used in a nonlinear self-toning adaptive control problem. The plant is an unknown feedback-hearimble discrete-time system, qâted by an input-ut model.
Neural Network Control of Nonliner Discrete-Time Systems ~ Control engineering; v.21 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 Discrete-Time 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 Hamilton-Jacobi-Bellman formulation.
Neural Network Control of Nonlinear Discrete-Time Systems ~ 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.
Neuro Control of Nonlinear Discrete Time Systems with ~ A neural network (NN) controller in discrete time is designed to deliver a desired tracking performance for a class of uncertain nonlinear systems with unknown deadzones and magnitude constraints on the input. The NN controller consists of two NNs: the first NN for compensating the unknown deadzones; and the second NN for compensating the uncertain nonlinear system dynamics.
Neural Network Control of Nonlinear Discrete-Time Systems ~ Therefore, first, a novel NNCS representation incorporating the system uncertainties and network imperfections are derived in this chapter. Subsequently, an online neural network (NN) identifier is developed to identify the control coefficient matrix of the stochastic nonlinear discrete-time system for the purpose of the controller design.
A Unified Approach to Adaptive Neural Control for ~ A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input Abstract: In this paper, an effective adaptive control approach is constructed to stabilize a class of nonlinear discrete-time systems, which contain unknown functions, unknown dead-zone input, and unknown control direction.
CRC Neural Network Control Of Nonlinear Discrete Time ~ File; CRC.Neural.Network.Control.of.Nonlinear.Discrete-time.Systems.Apr.2006.pdf-0824726774.pdf
Identification and Control of Nonlinear Systems Using ~ CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The feasibility of applying neural network learning techniques in problems of system identification and control has been demonstrated through several empirical studies. These studies are based for the most part on gradient techniques for deriving parameter adjustment laws.
Neural Network Control of Nonlinear Discrete Time Systems ~ Neural Network Control of Nonlinear Discrete Time Systems by Jagannathan Sarangapani. Neural Network Control of Nonlinear Discrete Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems.. Features:
Adaptive control of a class of nonlinear discrete-time ~ Adaptive control of a class of nonlinear discrete-time systems using neural networks Abstract: Layered neural networks are used in a nonlinear self-tuning adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by an input-output model.
Neural Network Based Predictive Control for Nonlinear Systems ~ 629 (S) NEURAL NETWORK BASED PREDICTIVE CONTROL FOR NONLINEAR SYSTEMS G.P. Liu, V. Kadirkamanathan and S.A. Billings Department of Automatic Control & Systems Engineering
Neural network-based online Hâ control for discrete-time ~ 5. Conclusion. In this paper, we have proposed a new ADP-based method to solve online the H â control problem for affine nonlinear discrete-time systems. The importance of the proposed method relies on simultaneous tuning the weights of the critic, action, and disturbance networks by using data generated in real-time along the system trajectories, and then the solution of the HJI equation .
Neural Network Control of Nonlinear Discrete-time Systems ~ Promoção vålida até 07/06/2020 apenas para livros nacionais e importados (exceto: didåticos, cursos e idiomas, dicionårios, mega saldão e outlet)
Continuous-Time Nonlinear System Identification Using ~ Continuous-time Nonlinear System Id entification Using Neural Network Yong Liu and J. Jim Zhu Abstract : In this paper, a continuous-time neural network nonlinear system identification algorithm using the system input/output signals is developed for a class of nonlinear systems. In control applications, the continuous-time nonlinear
A Neural Network Based Method for Solving Discrete-Time ~ So it is important to investigate that if the solution of the discrete-time output regulation problem is effective to sampled-data nonlinear control systems. Recently a feedforward neural network based approach to solving the discrete regulator equations has been presented.
Discrete-Time Neural Network Control of Nonlinear Systems ~ Request PDF / Discrete-Time Neural Network Control of Nonlinear Systems in Non-Strict Feedback Form / In this paper, an adaptive multilayer neural-network (NN) controller is designed to deliver a .
1548095 / Control Theory / Artificial Neural Network ~ 1548095 - Free download as PDF File (.pdf), Text File (.txt) or read online for free. fhfchf
Neural Network Control of Spark Ignition Engines with High ~ 01716792 - Free download as PDF File (.pdf), Text File (.txt) or read online for free.