Adaptive Dynamic Programming for Control

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Algorithms and Stability

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Algorithms and Stability

There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools ofa adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: OCo infinite-horizon control for which the difficulty of solving partial differential HamiltonOCoJacobiOCoBellman equations directly is overcome, anda proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; OCo finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; OCo nonlinear games for whicha a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: . OCo establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; OCo demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and OCo shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study."

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محتوای مستهجن
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توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2014

نویسنده

Huaguang Zhang

ناشر

Not Avail

شابک

9781447147572

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Adaptive Dynamic Programming for Control

Adaptive Dynamic Programming for Control

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2014

نویسنده

ناشر

شابک

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