EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
Similarity classifier using similarities based on modified probabilistic equivalence relations
Knowledge-Based Systems
GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Clayworks: Toward user-oriented software for collaborative modeling and simulation
Knowledge-Based Systems
Intelligent human interface based on mental cloning-based software
Knowledge-Based Systems
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
Online fuzzy identification for an intelligent controller based on a simple platform
Engineering Applications of Artificial Intelligence
Piecewise parametric polynomial fuzzy sets
International Journal of Approximate Reasoning
Decider: A fuzzy multi-criteria group decision support system
Knowledge-Based Systems
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Analytical and knowledge based approaches for a bioprocess supervision
Knowledge-Based Systems
Short communication: New results in modelling derived from Bayesian filtering
Knowledge-Based Systems
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process
Information Sciences: an International Journal
Differential Evolution for learning the classification method PROAFTN
Knowledge-Based Systems
A neural fuzzy framework for system mapping applications
Knowledge-Based Systems
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
BGSA: binary gravitational search algorithm
Natural Computing: an international journal
Design of self tuning fuzzy controllers for nonlinear systems
Expert Systems with Applications: An International Journal
Graphical L2-stability analysis of Takagi--Sugeno control systems in the frequency domain
Fuzzy Sets and Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Interpolation with function space representation of membership functions
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential evolution with local information for neuro-fuzzy systems optimisation
Knowledge-Based Systems
Fuzzy model reference control with adaptation of input fuzzy sets
Knowledge-Based Systems
Information Sciences: an International Journal
Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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This paper suggests the optimal tuning of low-cost fuzzy controllers dedicated to a class of servo systems by means of three new evolutionary optimization algorithms: Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO) algorithm and Simulated Annealing (SA) algorithm. The processes in these servo systems are characterized by second-order models with an integral component and variable parameters; therefore the objective functions in the optimization problems include the output sensitivity functions of the sensitivity models defined with respect to the parametric variations of the processes. The servo systems are controlled by Takagi-Sugeno proportional-integral-fuzzy controllers (T-S PI-FCs) that consist of two inputs, triangular input membership functions, nine rules in the rule base, the SUM and PROD operators in the inference engine, and the weighted average method in the defuzzification module. The T-S PI-FCs are implemented as low-cost fuzzy controllers because of their simple structure and of the only three tuning parameters because of mapping the parameters of the linear proportional-integral (PI) controllers onto the parameters of the fuzzy ones in terms of the modal equivalence principle and of the Extended Symmetrical Optimum method. The optimization problems are solved by GSA, PSO and SA resulting in fuzzy controllers with a reduced parametric sensitivity. The comparison of the three evolutionary algorithms is carried out in the framework of a case study focused on the optimal tuning of T-S PI-FCs meant for the position control system of a servo system laboratory equipment. Reduced process gain sensitivity is ensured.