The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. The rapid development of control technology has an impact on all areas of the control discipline. Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control.Īdvances in Industrial Control aims to report and encourage the transfer of technology in control engineering. renewable energy scheduling for smart power grids.In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors’ work: Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration.
A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. In the core of the book, the authors address first discrete- and then continuous-time systems. The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. This book covers the most recent developments in adaptive dynamic programming (ADP).
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