M
Mircea-Bogdan Radac
Researcher at Politehnica University of Timișoara
Publications - 147
Citations - 2180
Mircea-Bogdan Radac is an academic researcher from Politehnica University of Timișoara. The author has contributed to research in topics: Control system & Control theory. The author has an hindex of 24, co-authored 144 publications receiving 1906 citations. Previous affiliations of Mircea-Bogdan Radac include University of Ottawa.
Papers
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Journal ArticleDOI
Model-free sliding mode control of nonlinear systems
TL;DR: The experimental validation on a twin rotor aerodynamic system is included and the new structures are compared with a model-free intelligent proportional-integral (iPI) control system structure.
Journal ArticleDOI
Novel Adaptive Gravitational Search Algorithm for Fuzzy Controlled Servo Systems
TL;DR: The proposed adaptive GSA solves the optimization problems resulting in a new generation of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs) with a reduced time constant sensitivity.
Proceedings ArticleDOI
Stable and optimal fuzzy control of a laboratory Antilock Braking System
Radu-Emil Precup,Sergiu Spataru,Emil M. Petriu,Stefan Preitl,Mircea-Bogdan Radac,Claudia-Adina Dragos +5 more
TL;DR: Four new Takagi-Sugeno fuzzy controllers (T-S FCs) for the longitudinal slip control of an Antilock Braking System laboratory equipment are discusse.
Journal ArticleDOI
Fuzzy logic-based adaptive gravitational search algorithm for optimal tuning of fuzzy-controlled servo systems
TL;DR: An adaptive gravitational search algorithm (AGSA) which carries out adaptation of depreciation law of the gravitational constant and of a parameter in the weighted sum of all forces exerted from the other agents to the iteration index is proposed.
Journal ArticleDOI
Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing
TL;DR: This paper discusses the design of fuzzy control systems (FCS) with a reduced parametric sensitivity using simulated-annealing (SA) algorithms and a design method for Takagi-Sugeno proportional-integral fuzzy controllers (PI-FCs) is proposed.