| 000 | 03292nam a22003855i 4500 | ||
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| 001 | 111304 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113505.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 180810s2019 si a o |||| 0|eng d | ||
| 020 |
_a9789811312533 _9 |
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| 024 | 7 |
_a10.1007/978-981-13-1253-3 _2doi |
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| 040 |
_bspa _dES-MaUEC |
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| 050 | 4 |
_aTJ217 _b2019 EB |
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| 100 | 1 |
_aWang, Ding. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aAdaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems _cby Ding Wang [y otro más] |
| 264 | 1 |
_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019. |
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| 300 |
_a1 recurso en línea (XVII, 307 páginas) _b131 ilustraciones,129 ilustraciones a color |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Systems Decision and Control _x2198-4182 _v167 |
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| 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 | 3 | _aThis book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems. | |
| 650 | 7 |
_aSistemas de control no lineal _2embne _9666986 |
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| 650 | 7 |
_aControl automático _2embne _9405125 |
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| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811312526 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811312540 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811345937 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-1253-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 942 |
_2lcc _cLE |
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| 988 | _aPrimersemestre_2019_Robotics | ||
| 998 |
_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0 |
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| 999 |
_c111304 _d111304 _x1 |
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