2014
DOI: 10.1002/asjc.855
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Cascade Control System‐Based Cost Effective Combination of Tensor Product Model Transformation and Fuzzy Control

Abstract: This paper proposes the combination of tensor product (TP)-based model transformation and of fuzzy control as a cost effective cascade control system (CS) structure. A novel two-step design approach is suggested. A parallel distributed compensation technique is used in the first step in the TP-based design of the inner state feedback control loops which is next characterized by simple models using equivalent state feedback matrices. The modulus optimum method and the modal equivalent principle are used in the … Show more

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Cited by 39 publications
(23 citation statements)
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“…Accordingly, several methods have been developed to simulate the systems, to analyze their behaviours and to carry out the controller design in order to exhibit desired and/or imposed behaviours. In addition, as shown in [8] for optimal control, [24] for cascade control, [31] for robust control and [33] for minimum variance control, modelling the dynamics of complex systems by state-space models can guarantee high control system performance.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, several methods have been developed to simulate the systems, to analyze their behaviours and to carry out the controller design in order to exhibit desired and/or imposed behaviours. In addition, as shown in [8] for optimal control, [24] for cascade control, [31] for robust control and [33] for minimum variance control, modelling the dynamics of complex systems by state-space models can guarantee high control system performance.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy controllers described in this way present generalization of existing traditional fuzzy controllers. In this paper generalization of Takagi-Sugeno fuzzy controllers [5][6][7][8] will be performed. Namely, existing generalized quasi-orthogonal functions will be used in consequential part of fuzzy controller rules.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, diverse fuzzy controllers have been developed, such as fuzzy sliding mode controllers [4], T-S fuzzy controllers [5], state feedback fuzzy controllers [6,7], output feedback fuzzy controllers [8,9], fuzzy PI controllers [10], and fuzzy PD controllers [11,12].…”
Section: Introductionmentioning
confidence: 99%