A Takagi-Sugeno fuzzy gain-scheduler

In the present paper we describe the design of a fuzzy gain scheduler for tracking a reference trajectory of a nonlinear autonomous system. The proposed fuzzy gain scheduling method has two major advantages over the existing crisp gain scheduling methods. First, it provides a general and formally motivated method for the interpolation of available local control laws into a global gain scheduling control law. Second, the method for determining the weights of the local control laws in the global gain scheduling control law is general and computationally efficient. It is shown that a fuzzy gain scheduler can be designed such that robust asymptotic stability is met. Finally, an LQR control design based method is presented

Palm, Rainer,1942-Siemens Corporate Research, Munich, Germany(Swepub:oru)rpm (författare)
Rehfuess, UlrichSiemens Corporate Research, Munich, Germany (författare)
Linköping University, Linköping, SwedenSiemens Corporate Research, Munich, Germany (creator_code:org_t)

Ingår i:Proceedings of the Fifth IEEE International Conference on Fuzzy SystemsNew York, USA : IEEE conference proceedings, s. 1053-10590780336453

Av författaren/redakt...: Driankov, Dimite ...; Palm, Rainer, 19 ...; Rehfuess, Ulrich

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