000 | 04724nam a22006255i 4500 | ||
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001 | 978-981-10-4080-1 | ||
003 | DE-He213 | ||
005 | 20210201191302.0 | ||
007 | cr nn 008mamaa | ||
008 | 170613s2018 si | s |||| 0|eng d | ||
020 |
_a9789811040801 _9978-981-10-4080-1 |
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050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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_aTJFM _2thema |
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082 | 0 | 4 |
_a629.8 _223 |
100 | 1 |
_aWei, Qinglai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aSelf-Learning Optimal Control of Nonlinear Systems _h[electronic resource] : _bAdaptive Dynamic Programming Approach / _cby Qinglai Wei, Ruizhuo Song, Benkai Li, Xiaofeng Lin. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2018. |
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300 |
_aXVIII, 230 p. 86 illus., 73 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Systems, Decision and Control, _x2198-4182 ; _v103 |
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500 | _aAcceso multiusuario | ||
505 | 0 | _aChapter 1. Principle of Adaptive Dynamic Programming -- Chapter 2. An Iterative ϵ-Optimal Control Scheme for a Class of Discrete-Time Nonlinear Systems With Unfixed Initial State -- Chapter 3. Discrete-Time Optimal Control of Nonlinear Systems Via Value Iteration-Based Q-Learning -- Chapter 4. A Novel Policy Iteration Based Deterministic Q-Learning for Discrete-Time Nonlinear Systems -- Chapter 5. Nonlinear Neuro-Optimal Tracking Control Via Stable Iterative Q-Learning Algorithm -- Chapter 6. Model-Free Multiobjective Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems with General Performance Index Functions -- Chapter 7. Multi-Objective Optimal Control for a Class of Unknown Nonlinear Systems Based on Finite-Approximation-Error ADP Algorithm -- Chapter 8. A New Approach for a Class of Continuous-Time Chaotic Systems Optimal Control by Online ADP Algorithm -- Chapter 9. Off-Policy IRL Optimal Tracking Control for Continuous-Time Chaotic Systems -- Chapter 10. ADP-Based Optimal Sensor Scheduling for Target Tracking in Energy Harvesting Wireless Sensor Networks. | |
520 | _aThis book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the 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. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aControl engineering. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aVibration. | |
650 | 0 | _aDynamical systems. | |
650 | 0 | _aDynamics. | |
650 | 1 | 4 |
_aControl and Systems Theory. _0https://scigraph.springernature.com/ontologies/product-market-codes/T19010 |
650 | 2 | 4 |
_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014 |
650 | 2 | 4 |
_aVibration, Dynamical Systems, Control. _0https://scigraph.springernature.com/ontologies/product-market-codes/T15036 |
700 | 1 |
_aSong, Ruizhuo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aLi, Benkai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aLin, Xiaofeng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811040795 |
776 | 0 | 8 |
_iPrinted edition: _z9789811040818 |
776 | 0 | 8 |
_iPrinted edition: _z9789811350436 |
830 | 0 |
_aStudies in Systems, Decision and Control, _x2198-4182 ; _v103 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-4080-1 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
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