New relaxed stabilization conditions for discrete-time Takagi-Sugeno fuzzy control systems
From MaRDI portal
Publication:6563493
DOI10.1002/asjc.2047MaRDI QIDQ6563493
Publication date: 27 June 2024
Published in: Asian Journal of Control (Search for Journal in Brave)
fuzzy controlTakagi-Sugeno fuzzy modelnonquadratic Lyapunov functionstabilization conditionnonparallel distributed compensation
Cites Work
- Improvement on stability conditions for continuous-time T-S fuzzy systems
- Asymptotically necessary and sufficient stability conditions for discrete-time Takagi-Sugeno model: extended applications of Polya's theorem and homogeneous polynomials
- An efficient approach for reducing the conservatism of LMI-based stability conditions for continuous-time T-S fuzzy systems
- Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models.
- Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi-Sugeno fuzzy systems
- Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control
- Further studies on stability and stabilization conditions for discrete-time T-S systems with the order relation information of membership functions
- Novel stability conditions for discrete-time T-S fuzzy systems: a Kronecker-product approach
- Non-quadratic local stabilization for continuous-time Takagi-Sugeno models
- LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form
- Stability and stabilization of T-S fuzzy systems with time-varying delays via augmented Lyapunov-Krasovskii functionals
- Reliable mixed \(\mathcal{H}_\infty\)/passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach
- Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: applications of Polya's theorem
- Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi-Sugeno's form
- Dynamic T-S Fuzzy Systems Identification Based on Sparse Regularization
- Cascade Control System-Based Cost Effective Combination of Tensor Product Model Transformation and Fuzzy Control
- New Stabilization of Continuous-Time Delayed Systems Based on Partially Delay-Dependent Controllers
- Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi–Sugeno's form
- More Relaxed Non‐Quadratic Stabilization Conditions Using Ts Open Loop System and Control Law Properties
- NON‐PDC Observer‐Based T‐S Fuzzy Tracking Controller Design and its Application in CHAOS Control
Related Items (2)
Tensor product-based model transformation approach to tower crane systems modeling ⋮ A new design of output feedback sliding mode controller for T-S fuzzy-affine systems
This page was built for publication: New relaxed stabilization conditions for discrete-time Takagi-Sugeno fuzzy control systems