Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Fuzzy controllers as gain scheduling approximators
Fuzzy Sets and Systems - Special issue on methods for data analysis in classificatin and control
Solution of a non-convex optimization arising in PI/PID control design
Automatica (Journal of IFAC)
Survey Research on gain scheduling
Automatica (Journal of IFAC)
Brief Probabilistic solutions to some NP-hard matrix problems
Automatica (Journal of IFAC)
Design of fuzzy PID controllers using modified triangular membership functions
Information Sciences: an International Journal
A hybrid intelligent system for generic decision for PID controllers design in open-loop
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
A hybrid PID-fuzzy control for linear SISO systems with variant communication delays
Advances in Fuzzy Systems - Special issue on Fuzzy Function, Relations, and Fuzzy Transforms (2012)
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This paper presents an effective method to design a PID (or PI) controller for nonlinear systems where desirable robustness and performance properties must be maintained across a large range of operating conditions. For this purpose, an uncertain multimodel of the original nonlinear system is used. The uncertainties affecting the system are treated as stochastic matrices. Based on this multimodel representation a robust PID controller can be designed in order to obtain acceptable performance for all operating conditions. Numerical examples show the practical applicability of the proposed method.