Sparse and Decoupling Control Strategies Based on Takagi–Sugeno Fuzzy Models

Liao, Qianfang; Sun, Da

doi:10.1109/tcyb.2019.2896530

Cited by 13 publications

(9 citation statements)

References 35 publications

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“…For the i-th channel of Q(s), the open-loop gain of the channel is obtained when all other manipulated variables are zero, that is, equality (10). The open-loop gain of the channel is obtained when all other controlled variables are zero, that is, equality (11).…”

Section: Interaction Measurementmentioning

confidence: 99%

“…However, when there is a time-delay element in the MIMO systems, reverse decoupling cannot guarantee the system’s stability. In addition, researchers have used intelligent algorithms for MIMO systems and proposed various intelligent decoupling algorithms [ 8 , 9 , 10 , 11 , 12 ]. However, because the design of this kind of method is difficult to understand and the controller is complicated, it is difficult for engineers to adopt.…”

Section: Introductionmentioning

confidence: 99%

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Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method

Meng

et al. 2021

Entropy

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The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measurement noise is analyzed. This paper gives the control design steps of the MIMO systems. Finally, simulation experiments of four typical MIMO systems demonstrate the effectiveness of the proposed method.

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Section: Interaction Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method

Meng

et al. 2021

Entropy

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“…The intervals increase the fuzziness of the model and offer extra design degrees to describe inexactness. Consequently, Type-2 fuzzy models are endowed with the additional capability to handle uncertainties of training data [40]- [43].…”

Section: Introductionmentioning

confidence: 99%

Type-2 Fuzzy Model-Based Movement Primitives for Imitation Learning

2022

Self Cite

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“…The decentralized control structure is described in Liao and Sun [8] where a sparse control method is placed with decoupling control. Iterative dynamic decoupling control method is proposed for the MIMO motion system [9].…”

Section: Introductionmentioning

confidence: 99%

Generalized discrete decoupling and control of MIMO systems

Pandey

Dey

Banerjee

2022

Asian Journal of Control

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This paper proposes an efficient discrete-time decoupling algorithm for multiple input multiple output (MIMO) systems having strong coupling between inputs and outputs. A design method for discrete decouplers is proposed to eliminate the cross-coupling effects present in MIMO systems. The proposed decoupling technique is based on relative gain array (RGA) approach of MIMO system. In order to perform closed-loop control, individual discrete-time PID controllers are designed based on Kharitonov theorem for each of the SISO control loops of the resulting decoupled MIMO system. The closed-loop performance of the MIMO system under consideration is investigated in simulation and in real time which illustrate that the proposed decoupling algorithm satisfactorily nullifies the interaction between the inputs and outputs. The control scheme exhibits perfect tracking of the reference commands even in presence of disturbances. Twin rotor MIMO system (TRMS) is considered as the real-time example to validate the proposed method. Further, the performance of the compensated TRMS system is analyzed in frequency domain in presence of common actuator nonlinearities dead zone and saturation together. The performances of the controllers are found to be efficient even in presence of actuator nonlinearities.

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Sparse and Decoupling Control Strategies Based on Takagi–Sugeno Fuzzy Models

Abstract: This is the accepted version of a paper published in IEEE transactions on systems, man and cybernetics. Part B. Cybernetics. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.

Cited by 13 publications

References 35 publications

Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method

Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method

Type-2 Fuzzy Model-Based Movement Primitives for Imitation Learning

Generalized discrete decoupling and control of MIMO systems

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