Titlebook: Self-Learning Optimal Control of Nonlinear Systems; Adaptive Dynamic Pro Qinglai Wei,Ruizhuo Song,Xiaofeng Lin Book 2018 Science Press, Bei

Diatribe

Qinglai Wei,Ruizhuo Song,Benkai Li,Xiaofeng Linving rise to a fragmentary approach that has to be overcome if we are to harmonize the climate change international legal framework with the investment treaty law. The harmonization of these two systems could be achieved through a positivist approach, either by balancing the antagonism between the h

讨厌

nvestment program planning, optimum useful lifetime and optimum replacement time and investment decisions in uncertainty. The book closes with a mock exam and its solution as is typical at universities. Solutions are shown in an Excel sheet which is available online..978-3-658-33047-7978-3-658-33045-3Series ISSN 2192-4333 Series E-ISSN 2192-4341

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A Novel Policy Iteration-Based Deterministic ,-Learning for Discrete-Time Nonlinear Systems,rning algorithm, by approximating the iterative . function and the iterative control law, respectively. Finally, two simulation examples are presented to illustrate the performance of the developed algorithm.

JOT

Nonlinear Neuro-Optimal Tracking Control via Stable Iterative ,-Learning Algorithm,an stabilize the transformed nonlinear system. Two neural networks are used to approximate the iterative . function and compute the iterative control law, respectively, for facilitating the implementation of policy iteration .-learning algorithm. Finally, two simulation examples are presented to ill

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2198-4182 e performance of the system converge to the optimum..With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering..978-981-13-5043-6978-981-10-4080-1Series ISSN 2198-4182 Series E-ISSN 2198-4190

nonradioactive

Erratum to: Self-Learning Optimal Control of Nonlinear Systems,

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