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[PDF] Top 20 Design of stable and quadratic-optimal static output feedback controllers for TS-fuzzy-model-based control systems: an integrative computational approach

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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

Design of stable and quadratic-optimal static output feedback controllers for TS-fuzzy-model-based control systems: an integrative computational approach

... Conclusions. Based on the OFA, an algorithm has been presented in this paper for solving the TS-fuzzy-model-based feedback dynamic ...to design the ... See full document

8

DESIGN OF STABLE AND QUADRATIC-OPTIMAL STATIC OUTPUT FEEDBACK CONTROLLERS FOR TS-FUZZY-MODEL-BASED CONTROL SYSTEMS: AN INTEGRATIVE COMPUTATIONAL APPROACH

DESIGN OF STABLE AND QUADRATIC-OPTIMAL STATIC OUTPUT FEEDBACK CONTROLLERS FOR TS-FUZZY-MODEL-BASED CONTROL SYSTEMS: AN INTEGRATIVE COMPUTATIONAL APPROACH

... Keywords: Quadratic optimal control, Static output feedback PDC controller, Takagi- Sugeno fuzzy model, Orthogonal-functions approach, Hybrid Taguchi-genetic ... See full document

8

Design of Robust Quadratic Finite-Horizon Optimal Static Output Feedback Controllers for Linear Uncertain Singular Systems

Design of Robust Quadratic Finite-Horizon Optimal Static Output Feedback Controllers for Linear Uncertain Singular Systems

... Ho, and Jyh-Horng Chou, Senior Member, IEEE Abstract—By complementarily fusing the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hy- brid Taguchi-genetic algorithm ... See full document

3

Design of robust-optimal output feedback controllers for linear uncertain systems using LMI-based approach and genetic algorithm

Design of robust-optimal output feedback controllers for linear uncertain systems using LMI-based approach and genetic algorithm

... robust-optimal design problems of output feedback controllers for linear systems with both time-varying elemental (structured) and norm-bounded ... See full document

7

Design of robust optimal eigenvalue-assignable output feedback PID controllers for linear uncertain multivariable systems via orthogonal function approach and genetic algorithm

Design of robust optimal eigenvalue-assignable output feedback PID controllers for linear uncertain multivariable systems via orthogonal function approach and genetic algorithm

... fusing of the robust regional eigenvalue-assignability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic al- gorithm (HTGA), an integrative method is ... See full document

1

DESIGN OF ROBUST OPTIMAL EIGENVALUE-ASSIGNABLE OUTPUT FEEDBACK PID CONTROLLERS FOR LINEAR UNCERTAIN MULTIVARIABLE SYSTEMS VIA ORTHOGONAL-FUNCTIONS APPROACH AND GENETIC ALGORITHM

DESIGN OF ROBUST OPTIMAL EIGENVALUE-ASSIGNABLE OUTPUT FEEDBACK PID CONTROLLERS FOR LINEAR UNCERTAIN MULTIVARIABLE SYSTEMS VIA ORTHOGONAL-FUNCTIONS APPROACH AND GENETIC ALGORITHM

... fusing of the robust regional eigenvalue-assignability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic al- gorithm (HTGA), an integrative method is ... See full document

1

Design of robust-stable and quadratic  finite-horizon optimal active vibration controllers with low trajectory sensitivity for the uncertain  flexible rotor systems via OFA and HTGA

Design of robust-stable and quadratic finite-horizon optimal active vibration controllers with low trajectory sensitivity for the uncertain flexible rotor systems via OFA and HTGA

... 3,4 and Fang Lu 1 Abstract By studying the robust stabilizability condition, the orthogonal-functions approach (OFA), and the hybrid Taguchi-genetic algorithm (HTGA), an integrative ... See full document

9

A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems

A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems

... LMI-Based Approach to Relaxed Quadratic Stabilization of T–S Fuzzy Control Systems Chun-Hsiung Fang, Senior Member, IEEE, Yung-Sheng Liu, Shih-Wei Kau, Lin Hong, ... See full document

6

Optimal control of Takagi–Sugeno fuzzy-model-based systems representing dynamic ship positioning systems

Optimal control of Takagi–Sugeno fuzzy-model-based systems representing dynamic ship positioning systems

... finite-horizon optimal control Takagi–Sugeno fuzzy model a b s t r a c t Orthogonal function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) are used to solve ... See full document

7

Optimal control of Takagi–Sugeno fuzzy-model-based systems representing dynamic ship positioning systems

Optimal control of Takagi–Sugeno fuzzy-model-based systems representing dynamic ship positioning systems

... finite-horizon optimal control Takagi–Sugeno fuzzy model a b s t r a c t Orthogonal function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) are used to solve ... See full document

7

Robust-optimal active vibration controllers design of flexible mechanical systems via orthogonal function approach and genetic algorithm

Robust-optimal active vibration controllers design of flexible mechanical systems via orthogonal function approach and genetic algorithm

... 1,3 and Liang-An Zheng 1 Abstract By integrating the orthogonal-functions approach (OFA), the hybrid Taguchi-genetic algorithm (HTGA) and a robust stabiliz- ability condition, an ... See full document

6

Optimal Output Feedback Control for Linear Uncertain Systems Using LMI-Based Approach and Genetic Algorithm

Optimal Output Feedback Control for Linear Uncertain Systems Using LMI-Based Approach and Genetic Algorithm

... A new sufficient condition is proposed in terms of linear matrix inequalities (LMIs) for ensuring that the linear output feedback systems with both time-varying elemental and norm-bounde[r] ... See full document

3

Comment on evolutionary design of static output feedback  controller for Takagi-Sugeno fuzzy systems

Comment on evolutionary design of static output feedback controller for Takagi-Sugeno fuzzy systems

... the fuzzy model construction. The sector non-linearity approach can guarantee an exact fuzzy model ...non-linearity approach is ... See full document

2

Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties

Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties

... ∞ fuzzy static output feedback control problem for T-S fuzzy systems with time-varying norm- bounded ...conditions for synthesis of a fuzzy ... See full document

6

Stabilization of Uncertain Linear Systems via Static Output Feedback Control

Stabilization of Uncertain Linear Systems via Static Output Feedback Control

... paper, an LMI-based approach to designing a static output feedback controller is proposed for the stabilization of uncertain linear ...time-invariant and ... See full document

8

ON A GENERAL OPTIMAL ALGORITHM FOR MULTIRATE OUTPUT-FEEDBACK CONTROLLERS OF LINEAR STOCHASTIC PERIODIC-SYSTEMS

ON A GENERAL OPTIMAL ALGORITHM FOR MULTIRATE OUTPUT-FEEDBACK CONTROLLERS OF LINEAR STOCHASTIC PERIODIC-SYSTEMS

... By combin- ing the discrete-time linear quadratic regulation (LQR) control problem and the discrete-time stochastic linear quadratic regulation (SLQR) control problem as the [r] ... See full document

5

Optimal static output feedback simultaneous regional pole placement

Optimal static output feedback simultaneous regional pole placement

... Optimal Static Output Feedback Simultaneous Regional Pole Placement Jenq-Lang Wu and Tsu-Tian Lee, Fellow, IEEE Abstract—The problem of optimal simultaneous regional pole ... See full document

13

Partial pole assignment for the quadratic pencil by output feedback control with feedback designs

Partial pole assignment for the quadratic pencil by output feedback control with feedback designs

... MC is composed of motion vector decoder and predicted picture reconstructor. Motion vector de-[r] ... See full document

2

Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller

Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller

... adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system output is ... See full document

18

Imitation of state feedback controllers by fuzzy linguistic control rules

Imitation of state feedback controllers by fuzzy linguistic control rules

... We have proposed an algorithm to imitate the control action surface (i.e. SF plane) of a state feedback controller by using some linguistic conml rules... state feedba[r] ... See full document

2

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