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Record Nr. |
UNINA9910483387203321 |
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Autore |
Zhang Dan |
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Titolo |
Analysis and Synthesis of Switched Time-Delay Systems: The Average Dwell Time Approach [[electronic resource] /] / by Dan Zhang, Li Yu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (202 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4182 ; ; 146 |
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Disciplina |
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Soggetti |
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Systems theory |
Systems engineering |
Control and Systems Theory |
Systems Theory, Control |
Circuits and Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction to switched time-delay systems -- Fundamentals to stability, filtering and control -- Exponential stability of switched time-delay systems -- Passivity analysis of switched time-delay systems -- Filtering of continuous-time switched time-delay systems -- Filtering of continuous-time stochastic switched time-delay systems -- Filtering of discrete-time stochastic switched time-delay systems -- Asynchronous filtering of continuous-time switched time-delay systems -- Asynchronous filtering of discrete-time switched time-delay systems -- Filtering of discrete-time singular switched time-delay systems -- Fault detection of discrete-time switched time-delay systems -- Stabilization of continuous-time switched time-delay systems -- Fault tolerant control for discrete-time switched time-delay systems -- Finite-time control for discrete-time switched time-delay systems. |
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Sommario/riassunto |
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This book, written by experts in the field, is based on the latest research on the analysis and synthesis of switched time-delay systems. It covers the stability, filtering, fault detection and control problems, which are studied using the average dwell time approach. It presents both the continuous-time and discrete-time systems and provides |
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useful insights and methods, as well as practical algorithms that can be considered in other complex systems, such as neuron networks and genetic regulatory networks, making it a valuable resource for researchers, scientists and engineers in the field of system sciences and control communities. . |
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