000 | 02087 a2200325 4500 | ||
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001 | 1351470477 | ||
005 | 20250317111553.0 | ||
008 | 250312042018xx 64 eng | ||
020 | _a9781351470476 | ||
037 |
_bTaylor & Francis _cGBP 48.99 _fBB |
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040 | _a01 | ||
041 | _aeng | ||
072 | 7 |
_aTHY _2thema |
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072 | 7 |
_aTJF _2thema |
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072 | 7 |
_aTHRB _2bic |
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072 | 7 |
_aTJF _2bic |
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072 | 7 |
_aTEC007000 _2bisac |
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072 | 7 |
_aTEC008000 _2bisac |
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072 | 7 |
_a629.8 _2bisac |
|
100 | 1 | _aAhmadreza Argha | |
245 | 1 | 0 |
_aAdvances in Discrete-Time Sliding Mode Control _bTheory and Applications |
250 | _a1 | ||
260 |
_bCRC Press _c20180614 |
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300 | _a254 p | ||
520 | _bThe focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network | ||
700 | 1 |
_aSteven Su _4A01 |
|
700 | 1 |
_aLi Li _4A01 |
|
700 | 1 |
_aHung Tan Nguyen _4A01 |
|
700 | 1 |
_aBranko George Celler _4A01 |
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999 |
_c3513 _d3513 |