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Adaptive neural network control of discrete time nonlinear systems

Adaptive neural network control of discrete time nonlinear systems

Adaptive neural network control of discrete time nonlinear systems

... organization of this thesis are presented in Sections 1.2, 1.3 and 1.4 respectively 1.1 Adaptive Neural Network Control of Nonlinear Systems 1.1 1.1.1 Adaptive Neural Network Control of Nonlinear Systems ... List of Figures ix List of Tables xii Introduction 1.1 Adaptive Neural Network Control of Nonlinear Systems 1.1.1 Neural Networks 1.1.2 Adaptive NN Control of Continuous -time ... modelling and control of nonlinear systems For neural network controller design of general nonlinear systems, several researchers have suggested to use neural networks as emulators of inverse systems...
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Adaptive control and neural network control of nonlinear discrete time systems

Adaptive control and neural network control of nonlinear discrete time systems

... in discrete- time adaptive control Though for adaptive control of linear continuous -time systems, there are lots of counterpart results for linear discrete- time systems, adaptive control of nonlinear ... in adaptive control and NN control made for nonlinear continuous -time systems and there is considerable lag in the development 1.1 Adaptive Control of Nonlinear Systems for nonlinear discrete- time ... processes in discrete- time for ease of control design Thus, adaptive control and NN control of nonlinear discrete- time system deserve deeply further investigation The remainder of this Chapter...
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Báo cáo hóa học:

Báo cáo hóa học: "Research Article Neural Network Adaptive Control for Discrete-Time Nonlinear Nonnegative Dynamical Systems" ppt

... Neuroadaptive control for discrete-time nonlinear nonnegative uncertain systems In this section, we consider the problem of characterizing neuroadaptive feedback control laws for discrete-time nonlinear ... Chellaboina, Neural network adaptive control for nonlinear nonnegative dynamical systems,” IEEE Transactions on Neural Networks, vol 16, no 2, pp 399–413, 2005 A Berman and R J Plemmons, Nonnegative ... and N Hovakimyan, “Passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems,” IEEE Transactions on Neural Networks, vol 16, no 2, pp 387–398,...
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Báo cáo nghiên cứu khoa học:

Báo cáo nghiên cứu khoa học: " NEURAL NETWORK CONTROL OF PNEUMATIC ARTIFICIAL MUSCLE MANIPULATOR FOR KNEE REHABILITATION" pps

... Kohonen-type neural network was used for the position control of robot end-effector within cm after learning [7] Recently, the authors have developed a feed forward neural network controller and ... in Fig In the experiment of the proposed controller, the initial values of Kp, Ki and Kd are set to be the same of the control parameters of PID controller The purpose of this experiment is to ... error of 1[0][8] An intelligent control using a neuro-fuzzy network was proposed by Iskarous and Kawamura [9] A hybrid network that combines fuzzy and neural network was used to model and control...
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Adaptive control of uncertain constrained nonlinear systems

Adaptive control of uncertain constrained nonlinear systems

... other issues for adaptive control of uncertain high-order nonlinear systems with constraints to be further investigated 1.1 Background and Motivation 1.1.3 Control of Constrained Systems Dealing ... design tools for tracking control of uncertain constrained nonlinear systems We define notions of continuity, differentiability, and smoothness, as well as the classes of systems considered in this ... for adaptive control that overcame the structural and growth restrictions Specifically, the marriage of adaptive control and backstepping, i.e adaptive backstepping, yields a means of applying adaptive...
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Stabilization and control of unstable time delay systems

Stabilization and control of unstable time delay systems

... of time delay systems remains a hot research topic while the unstable systems are gaining great attention from researchers recently Control of unstable delay systems is the most challenging and ... STABILIZATION AND CONTROL OF UNSTABLE TIME DELAY SYSTEMS LEE SEE CHEK (B.Eng (Hons., 1st Class) UTM, M.Sc NUS) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF ELECTRICAL ... transportation delays in the inflows to the reactor The temperature control problem described thus becomes a control problem of an unstable time delay process In such a case of temperature control of the...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article Stabilization of Discrete-Time Control Systems with Multiple State Delays" doc

... exponential stabilizability of discrete-time systems with time-delayed states Finally, as an application, we consider the global stabilization of the nonlinear control systems Preliminaries In this ... observability, controllability, and stabilization of linear elastodynamic systems, ” SIAM Journal on Control and Optimization, vol 37, no 2, pp 521–542, 1999 10 E K Boukas, State feedback stabilization of ... theorem for discrete-time systems, ” IEEE e Transactions on Automatic Control, vol 41, no 6, pp 903–907, 1996 12 E N Chukwu, Stability and Time-Optimal Control of Hereditary Systems, vol 188 of Mathematics...
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robust adaptive model predictive control of nonlinear systems

robust adaptive model predictive control of nonlinear systems

... Frontiers of Model Predictive Control Robust Model Predictive Control Nonlinear Model Predictive Control Excellent Applications Guide for Researchers and Engineers Recent Achievements of Authors ... model predictive control: Stability and optimality, Automatica 36: 789–814 www.intechopen.com Robust Adaptive Model Predictive Control of Nonlinear Systems 57 Michalska, H & Mayne, D (1993) Robust ... www.intechopen.com Robust Adaptive Model Predictive Control of Nonlinear Systems 45 14 Computation and Performance Issues 14.1 Excitation of the closed-loop trajectories Contrary to much of the adaptive control...
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06 Quantization of Discrete Time Signals

06 Quantization of Discrete Time Signals

... infinite set of possible signals is converted into a finite set The next step of encoding maps the finite set of discrete time, continuous amplitude signals into a finite set of discrete time, discrete ... its domain A discrete time, continuous amplitude signal has R as its range A discrete time, discrete amplitude signal has Z as its range Here, the focus is on discrete time signals Quantization ... signals Quantization is the process of approximating any discrete time, continuous amplitude signal into one of a finite set of discrete time, continuous amplitude signals based on a particular distortion...
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Tài liệu Thesis

Tài liệu Thesis "Neural Network Control" doc

... weights for neural network train network for 50 epochs end choose best of above networks train network using early stopping as termination Early Stopping It is important for the network to generalise ... present thesis illustrates application of the feed-forward network to control systems with non-linear plants This thesis focuses on two conceptually different approaches to applying neural networks ... in appendix A 1.2 The Neural Network Throughout this thesis we are using the two-layer feed-forward network with sigmoidal hidden units and linear output units This network structure is by far...
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Getting Control of Your Time Management Monster pot

Getting Control of Your Time Management Monster pot

... One of the biggest balancing acts you have in your business and life, as a real estate salesperson or real estate broker, is the use of your time Your ability to maximize your time enables ... into your best use of time So the better you understand yourself – your strengths, weaknesses, goals, values, and motivations – the easier it is to manage your time effectively As you look at your ... or IPod instead Use the time to expand your knowledge about your industry, your career, or human psychology With the amount of time you spend in your car over the course of a year, you could theoretically...
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Báo cáo khoa học:

Báo cáo khoa học: "Neural Network Recognition of Spelling Errors" docx

... beginning of words cause much greater problems than errors at the etad of words 1.1 Fixed-Length Letter Buffers The most common method of representing letters is in a buffer containing a set number of ... variables, FLLB type and local/distributed, for each of four types of error A test corpus of similarly-spelled words was developed from a list of American English homophones (Antworth 1993) Homophone ... distributed) The local method uses l of 26 nodes for each letter (total of 364 nodes), while the distributed method uses of I nodes for each letter (total of 154 nodes), with no more than two...
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