000 05697nam a22006135i 4500
001 978-3-319-50815-3
003 DE-He213
005 20220801221839.0
007 cr nn 008mamaa
008 170104s2017 sz | s |||| 0|eng d
020 _a9783319508153
_9978-3-319-50815-3
024 7 _a10.1007/978-3-319-50815-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aLiu, Derong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958317
245 1 0 _aAdaptive Dynamic Programming with Applications in Optimal Control
_h[electronic resource] /
_cby Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, Hongliang Li.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXX, 594 p. 203 illus., 175 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x2193-1577
505 0 _aHistory of Adaptive Dynamic Programming -- Part I: Continuous-Time Systems -- Optimal Control of Continuous-Time Affine Nonlinear Systems -- Optimal Control of Nonaffine Continuous-Time Systems -- Robust and Guaranteed Cost Control of Continuous-Time Nonlinear Systems -- Decentralized Stabilization and Control of Nonlinear Interconnected Systems -- Online Synchronous Optimal Learnign Algorithms for Multiplayer Nonzero-Sum Games with Unknown Dynamics -- Part II: Discrete-Time Systems -- Value Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems -- Finite Approximation Error-Based Value Iteration for Adaptive Dynamic Programming -- Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems -- Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems -- Error-Bound Analysis of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems -- Part III: Applications -- Adaptive Dynamic Programming for Renewable Energy Scheduling and Battery Management in Smart Homes -- Adaptive Dynamic Programming for Optimal Tracking Control of a Coal Gasification Process -- Data-Driven Neuro-Optimal Temperature Control of Water–Gas Shift Reaction.
520 _aThis book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. 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. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. 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. 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. 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: • renewable energy scheduling for smart power grids; • coal gasification processes; and • water–gas shift reactions. 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. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 _aControl engineering.
_931970
650 0 _aComputational intelligence.
_97716
650 0 _aNonlinear Optics.
_911414
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aNonlinear Optics.
_911414
700 1 _aWei, Qinglai.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958318
700 1 _aWang, Ding.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958319
700 1 _aYang, Xiong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958320
700 1 _aLi, Hongliang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958321
710 2 _aSpringerLink (Online service)
_958322
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319508139
776 0 8 _iPrinted edition:
_z9783319508146
776 0 8 _iPrinted edition:
_z9783319844978
830 0 _aAdvances in Industrial Control,
_x2193-1577
_958323
856 4 0 _uhttps://doi.org/10.1007/978-3-319-50815-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80118
_d80118