Fuzzy fractal dimensions and fuzzy modeling
Information Sciences: an International Journal
Information Sciences: an International Journal
Design of mixed H2/H∞ control systems using algorithms inspired by the immune system
Information Sciences: an International Journal
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
A fuzzy model to evaluate the suitability of installing an enterprise resource planning system
Information Sciences: an International Journal
Predictive control of the heat exchanger using Local Model Network
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Self-tuning control of nonlinear servo system: Comparison of LQ and predictive approach
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Information Sciences: an International Journal
GAPK: genetic algorithms with prior knowledge for motif discovery in DNA sequences
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
BGSA: binary gravitational search algorithm
Natural Computing: an international journal
Robust adaptive sliding-mode control for fuzzy systems with mismatched uncertainties
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
MIMO adaptive fuzzy terminal sliding-mode controller for robotic manipulators
Information Sciences: an International Journal
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Interval Type-2 fuzzy voter design for fault tolerant systems
Information Sciences: an International Journal
A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Fault Detection for Uncertain Fuzzy Systems: An LMI Approach
IEEE Transactions on Fuzzy Systems
Toward a Theory of Granular Computing for Human-Centered Information Processing
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework
IEEE Transactions on Fuzzy Systems
Fuzzy controllers: synthesis and equivalences
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
A dynamic consensus scheme based on a nonreciprocal fuzzy preference relation modeling
Information Sciences: an International Journal
Information Sciences: an International Journal
Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems
Knowledge-Based Systems
Why `GSA: a gravitational search algorithm' is not genuinely based on the law of gravity
Natural Computing: an international journal
Information Sciences: an International Journal
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This paper proposes the design of fuzzy control systems with a reduced parametric sensitivity making use of Gravitational Search Algorithms (GSAs). The parametric variations of the processes lead to sensitivity models. Objective functions expressed as integral quadratic performance indices, which depend on the control error and squared output sensitivity functions are suggested. GSAs are employed to minimize the objective functions in the appropriately defined optimization problems. This paper also suggests a GSA with improved search accuracy. The new GSA is characterized by the modification of the denominator in the expression of the force acting on an agent from the other agent; the denominator depends not only on the Euclidian distance between the two agents but also on the position of the latter: A design method for Takagi-Sugeno proportional-integral fuzzy controllers (PI-FCs) is proposed. The PI-FCs are dedicated to a class of processes characterized by second-order linear or linearized models with an integral component. Two discrete-time sensitivity models of the fuzzy control systems are derived. An example dealing with the angular position control of direct current (DC) servo system laboratory equipment validates the new controller design. A set of real-time experimental results illustrates the fuzzy control system performance.