000 | 04447nam a22006135i 4500 | ||
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001 | 978-981-19-7291-1 | ||
003 | DE-He213 | ||
005 | 20240207153805.0 | ||
007 | cr nn 008mamaa | ||
008 | 230121s2023 si | s |||| 0|eng d | ||
020 |
_a9789811972911 _9978-981-19-7291-1 |
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_a629.8 _223 |
100 | 1 |
_aWang, Ding. _eauthor. _0(orcid)0000-0002-7149-5712 _1https://orcid.org/0000-0002-7149-5712 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aAdvanced Optimal Control and Applications Involving Critic Intelligence _h[electronic resource] / _cby Ding Wang, Mingming Ha, Mingming Zhao. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
|
300 |
_aXIV, 274 p. 116 illus., 115 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 |
||
490 | 1 |
_aIntelligent Control and Learning Systems, _x2662-5466 ; _v6 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aA Survey of Robust Adaptive Critic Control Design -- Robust Optimal Control of Nonlinear Systems with Matched Uncertainties -- Observer-Based Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems -- Adaptive Tracking Control of Nonlinear Systems Subject to Matched Uncertainties -- Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism -- An Improved Adaptive Optimal Regulation Framework with Robust Control Synthesis -- Robust Stabilization and Trajectory Tracking of General Uncertain Nonlinear Systems -- Event-Triggered Nonlinear H∞ Control Design via an Improved Critic Learning Strategy -- Intelligent Critic Control with Disturbance Attenuation for a Micro-Grid System -- Sliding Mode Design for Load Frequency Control with Power System Applications. | |
520 | _aThis book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 0 | _aMachine learning. | |
650 | 1 | 4 | _aControl, Robotics, Automation. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aAutomation. |
700 | 1 |
_aHa, Mingming. _eauthor. _0(orcid)0000-0002-2901-9608 _1https://orcid.org/0000-0002-2901-9608 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aZhao, Mingming. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811972904 |
776 | 0 | 8 |
_iPrinted edition: _z9789811972928 |
776 | 0 | 8 |
_iPrinted edition: _z9789811972935 |
830 | 0 |
_aIntelligent Control and Learning Systems, _x2662-5466 ; _v6 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-19-7291-1 |
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912 | _aZDB-2-SXIT | ||
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