[PDF] Top 20 Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties
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Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties
... addresses robust H ∞ fuzzy static output feedback control problem for T-S fuzzy systems with time-varying norm- bounded ...synthesis ... See full document
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Robust Controllability of T–S Fuzzy-Model-Based Control Systems With Parametric Uncertainties
... turer with the Mechanical Engineering Department, National Sun Yat-Sen ...Professor with the Mechanical Engineering Department, National Kaohsiung University of Applied Sciences, where he was also ... See full document
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The Absolute Stability Analysis in Fuzzy Control Systems with Parametric Uncertainties and Reference Inputs
... type fuzzy logic control systems with both certain and uncertain linear ...libriums of error) in P and PD types is analyzed with the Popov or lineariza- tion methods under ... See full document
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Regularity and Controllability Robustness of TS Fuzzy Descriptor Systems with Structured Parametric Uncertainties
... robustness of local regularity and controllability in TS fuzzy descriptor control systems with structured ...TS fuzzy descriptor control systems are locally regular ... See full document
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Robust H-infinity output feedback control for general nonlinear systems with structured uncertainty
... the robust H ∞ output feedback control problem for general nonlinear systems with L 2 -norm-bounded structured uncertainties is ...solvability of ... See full document
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Comment on evolutionary design of static output feedback controller for Takagi-Sugeno fuzzy systems
... advantage of using the approach of sector non- linearity is that there is no approximation error between the original non-linear control system and its TS-fuzzy-model- based control ... See full document
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Stabilization of Uncertain Linear Systems via Static Output Feedback Control
... for static output feedback stabilization of state space systems with polytopic type uncertainties affecting both the state matrix and the output matrix ...stability ... See full document
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Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller
... discrete-time systems [12,31,29,22,13]. The fundamental ideal of feedback linearization is to transform a nonlinear system into a linear one, so that linear control techniques can be employed ... See full document
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Design of stable and quadratic-optimal static output feedback controllers for TS-fuzzy-model-based control systems: an integrative computational approach
... TS-fuzzy-model-based feedback dynamic ...integrated with the HTGA to design the stable and quadratic-optimal static output feedback PDC controllers of the ... See full document
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DESIGN OF STABLE AND QUADRATIC-OPTIMAL STATIC OUTPUT FEEDBACK CONTROLLERS FOR TS-FUZZY-MODEL-BASED CONTROL SYSTEMS: AN INTEGRATIVE COMPUTATIONAL APPROACH
... optimal control, Static output feedback PDC controller, Takagi- Sugeno fuzzy model, Orthogonal-functions approach, Hybrid Taguchi-genetic algorithm, Linear matrix inequalities ...the ... See full document
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Design of Robust Quadratic Finite-Horizon Optimal Static Output Feedback Controllers for Linear Uncertain Singular Systems
... the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hy- brid Taguchi-genetic algorithm (HTGA), an integrative method is proposed in this paper to design the robust-stable ... See full document
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Robust neuro-fuzzy control of multivariable systems by tuning consequent membership functions
... ofa robust neuro-fuzzy control ...multi-layer fuzzy system. 3. Design of the robust neuro-fuzzy controller The control ofan MIMO nonlinear system poses diKculties ... See full document
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A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems
... Stabilization of T–S Fuzzy Control Systems Chun-Hsiung Fang, Senior Member, IEEE, Yung-Sheng Liu, Shih-Wei Kau, Lin Hong, and Ching-Hsiang Lee Abstract—This paper proposes a new ... See full document
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Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network
... field of ILC, we also present a new ORFNN to design our learning ...function with global feedback structure and has a smaller number of network parameters when compared with some ... See full document
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Robust fuzzy model-following control of robot manipulators
... are with the Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, ...manipulators with torque disturbance and measurement ...the fuzzy basis function expansion ... See full document
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LMI-based robust sliding control for mismatched uncertain nonlinear systems using fuzzy models
... a robust sliding control design method for the mis- matched uncertain T–S fuzzy model with parameter uncertainties and norm-bounded external dis- ...model of the ... See full document
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Robust Local Regularity and Controllability of Uncertain TS Fuzzy Descriptor Systems
... 2. Robust Local Regularity and Controllability Analysis Based on the approach of using the sector nonlinearity in the fuzzy model construction, both the fuzzy set of premise part and ... See full document
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Robust Local Regularity and Controllability of Uncertain TS Fuzzy Descriptor Systems
... W. H. Ho, J. T. Tsai, and J. H. Chou, “Robust quadratic-optimal control of TS-fuzzy-model-based dynamic systems with both elemental parametric ... See full document
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improvements on stabilization and robust tracking control for t-s fuzzy control system
... comparison with existing results, not only the derived condition is more relaxed but the approach used is simpler and more realizable in dealing with the time derivatives of membership ...the ... See full document
3
Generalized Fuzzy Automata for Fuzzy Feedback Control with Words
... Introduction Fuzzy feedback controls appear in many areas. Most of the environments of the control problems are with ...temperature of the plant is required to be ... See full document
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