Fuzzy Model-Based Sliding Mode Control of Complex Nonlinear Systems
Series: Engineering Mathematics and Operations Research;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 11 May 2026
- ISBN 9781032694665
- Binding Hardback
- No. of pages245 pages
- Size 234x156 mm
- Language English
- Illustrations 111 Illustrations, black & white; 10 Halftones, black & white; 101 Line drawings, black & white; 2 Tables, black & white 700
Categories
Short description:
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 are presented and show how the methods can be used in various practical systems.
MoreLong description:
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 and show how the methods can be used in various practical systems, such as control of nonlinear gas absorption, water stream heating, and air-drying process in some chemical production systems.
Fuzzy-Model-Based Mode Control of Complex Nonlinear Systems discusses new fuzzy SMC methods for some typical classes of complex nonlinear systems and offers new stability analysis results on sliding motion based on more advanced T-S fuzzy affine models. New convexification techniques are presented to handle the couplings in the sliding surface gain with the Lyapunov matrices and/or system matrices, and extra freedom of the existence conditions for the sliding surface gains. The book provides new SMC laws for both one-dimensional and two-dimensional systems that tend to be more complicated and widely used in many industrial processes. New types of sliding surface and dynamic sliding mode controller design methods are also covered.
This book finds its audience as a reference to researchers and engineers that are engaging in the areas related to fuzzy modelling and control and SMC with its applications.
MoreTable of Contents:
1. Introduction. 2. State Feedback Fuzzy SMC of Continuous-Time Nonlinear Systems. 3. Output Feedback Fuzzy SMC of Continuous-Time Nonlinear Systems. 4. State Feedback Fuzzy SMC of Discrete-Time Nonlinear Systems. 5. Output Feedback Fuzzy SMC of Discrete-Time Nonlinear Systems. 6. Fuzzy Integral SMC of Nonlinear Singularly Perturbed Systems. 7. Fuzzy SMC of Continuous-Time Nonlinear Two-Dimensional Systems. 8. Fuzzy SMC of Discrete-Time Nonlinear Two-Dimensional Systems.
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