Jianbin Qiu – författare
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5 produkter
Fuzzy Model-Based Sliding Mode Control of Complex Nonlinear Systems
Av Wenqiang Ji, Jianbin Qiu m. fl.
Inbunden, 2026
1830 kr
Lägg i varukorg
This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. Research results and controller design methods on SMC of complex nonlinear systems through T-S fuzzy models are presented …
Fuzzy Model-Based Sliding Mode Control of Complex Nonlinear Systems
Av Heting Zhang, Jianbin Qiu m. fl.
E-bok, 2026
2078 kr
Lägg i varukorg
This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. Research results and controller design methods on SMC of complex nonlinear systems through T-S fuzzy models are presented …
Fuzzy Model-Based Sliding Mode Control of Complex Nonlinear Systems
Av Heting Zhang, Jianbin Qiu m. fl.
E-bok, 2026
2033 kr
Lägg i varukorg
This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. Research results and controller design methods on SMC of complex nonlinear systems through T-S fuzzy models are presented …
Estimation and Control of Markovian Jump Systems
Applications in Industrial Engineering
Av Yanling Wei, Jianbin Qiu m. fl.
Inbunden, 2027
1502 kr
Kommande
Estimation and Control of Markovian Jump Systems: Applications in Industrial Engineering provides a comprehensive exploration of Markovian Jump Systems (MJSs), a unique class of hybrid systems that model dynamic processes exposed to unpredictable variations, such as random failures, environmental …
Fuzzy-Model-Based Control, Filtering, and Fault Detection for Nonlinear Systems
Av Meng Wang, Huaicheng Yan m. fl.
Inbunden, 2027
1781 kr
Kommande
The book focuses on the analysis and synthesis of one-dimensional (1-D) and two-dimensional (2-D) fuzzy-model-based control systems. By exploiting available information of fuzzy systems, for example, membership functions, premise variable partition information, frequency spectrum of …