Imperfect Premise Matching fuzzy control for nonlinear stochastic ship steering systems

Chang, Wen‐Jer; Kuo, Che-Pin; Huang, Bo-Jyun

doi:10.1109/robio.2011.6181482

Cited by 2 publications

(6 citation statements)

References 14 publications

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“…In the literature, the problem of controlling surface ships in maneuvering situations has been receiving more and more attention from the operational safety and environmental viewpoints [1][2][3][4][5][6][7][8]. For ship steering, the stochastic disturbances are waves, wind gusts, and observation errors, and the deterministic disturbances are current, mean wind, and curvature of the prespecified track.…”

Section: Introductionmentioning

confidence: 99%

“…In [1][2][3][4][5][6], the dynamic ship steering systems were approximated by the linearized models that may have sacrificed some nonlinear characteristics. In order to reserve the characteristics of original nonlinear systems, the authors of [7,8] used the Takagi-Sugeno (T-S) fuzzy model to represent the nonlinear dynamic ship steering systems. Without loss of generality, the T-S fuzzy model [7,8] can approximate a wide class of nonlinear systems by mixing several linear subsystems with IF-THEN rules.…”

Section: Introductionmentioning

confidence: 99%

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Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

Chang

Huang

2013

Mathematical Problems in Engineering

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The variance and passivity constrained fuzzy control problem for the nonlinear ship steering systems with state multiplicative noises is investigated. The continuous-time Takagi-Sugeno fuzzy model is used to represent the nonlinear ship steering systems with state multiplicative noises. In order to simultaneously achieve variance, passivity, and stability performances, some sufficient conditions are derived based on the Lyapunov theory. Employing the matrix transformation technique, these sufficient conditions can be expressed in terms of linear matrix inequalities. By solving the corresponding linear matrix inequality conditions, a parallel distributed compensation based fuzzy controller can be obtained to guarantee the stability of the closed-loop nonlinear ship steering systems subject to variance and passivity performance constraints. Finally, a numerical simulation example is provided to illustrate the usefulness and applicability of the proposed multiple performance constrained fuzzy control method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

Chang

Huang

2013

Mathematical Problems in Engineering

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“…For the non-linear dynamic ship positioning systems [1], some technologies [2][3][4][5] have been developed to design the applicable controllers. In references [2] and [3], the dynamic ship positioning systems were approximated by the linearized models that may sacrifice some non-linear characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…In references [2] and [3], the dynamic ship positioning systems were approximated by the linearized models that may sacrifice some non-linear characteristics. In order to overcome this problem, the authors of references [4] and [5] used the T-S fuzzy model to describe the non-linear dynamic ship positioning systems. Without loss of generality, the Takagi-Sugeno (T-S) fuzzy model [6] can approximate a wide class of non-linear systems by mixing several linear subsystems with IF-THEN fuzzy rules.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Controller Design Subject to Actuator Saturation for Dynamic Ship Positioning Systems with Multiplicative Noises

Chang

2010

Proceedings of the Institution of Mechanical Engineers, Part I:

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This paper deals with the fuzzy controller design problem for the dynamic ship positioning systems with multiplicative noises. The Takagi-Sugeno (T-S) fuzzy model is employed to represent the non-linear dynamic ship positioning systems. Subject to actuator saturation, some sufficient conditions are derived to guarantee the stability of the closed-loop systems. The stability conditions developed in this paper can be coordinated to the linear matrix inequality (LMI) constraints. By solving these LMI stability conditions, a parallel distributed compensation (PDC)-based fuzzy controller is obtained to stabilize the T-S fuzzy models with multiplicative noises. In order to illustrate the availability and practicability of proposed fuzzy controller design approach, a numerical simulation is provided to express the controlled responses of dynamic ship positioning systems with multiplicative noises.

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Imperfect Premise Matching fuzzy control for nonlinear stochastic ship steering systems

Cited by 2 publications

References 14 publications

Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

Fuzzy Controller Design Subject to Actuator Saturation for Dynamic Ship Positioning Systems with Multiplicative Noises

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