Multimodel Scheduling Control of Nonlinear Systems Using Gap Metric

2004 ◽  
Vol 43 (26) ◽  
pp. 8275-8283 ◽  
Author(s):  
Erdem Arslan ◽  
Mehmet C. Çamurdan ◽  
Ahmet Palazoglu ◽  
Yaman Arkun
Keyword(s):  
Nonlinear Systems ◽  
Gap Metric

Multimodel Control of Nonlinear Systems: An Improved Gap Metric and Stability Margin-Based Method

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Mahdi Ahmadi ◽  
Mohammad Haeri
Keyword(s):  
Nonlinear Systems ◽  
Controller Design ◽  
A Priori ◽  
Stability Margin ◽  
Threshold Value ◽  
Performance Criteria ◽  
Local Models ◽  
Gap Metric ◽  
Maximum Stability ◽  
And Performance

This paper presents a new multimodel controller design approach incorporating stability and performance criteria. The gap metric is employed to measure the distance between local models. An efficient method based on state feedback strategy is introduced to improve the maximum stability margin of the local models. The proposed method avoids local model redundancy, simplifies the multimodel controller structure, and supports employing of many linear control techniques, while does not rely on a priori experience to choose the gridding threshold value. To evaluate the proposed method, three benchmark nonlinear systems are studied. Simulation results demonstrate that the method provides the closed-loop stability and performance via a simple multimodel structure in comparison with the opponents.

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