This paper proposes two model-free sliding mode control system (MFSMCS) structures. The
new structures are compared with a model-free intelligent proportional-integral (iPI) control …

This paper suggests the use of Grey Wolf Optimizer (GWO) algorithms to tune the
parameters of Takagi-Sugeno proportional-integral-fuzzy controllers (PI-FCs) for a class of …

This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …

This study proposes an adaptive gravitational search algorithm (AGSA) which carries out
adaptation of depreciation law of the gravitational constant and of a parameter in the …

In this paper an adaptive law with leakage is presented. This law can be used in the
consequent part of Takagi–Sugeno-based control. The approach enables easy …

This paper proposes the combination of two model-free controller tuning techniques, namely
linear virtual reference feedback tuning (VRFT) and nonlinear state-feedback Q-learning …

In the aerospace field, researchers and engineers have been using attitude simulators to
test and evaluate spacecraft attitude control algorithms, usually developed at the design …

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 …

This paper suggests a new generation of optimal PI controllers for a class of servo systems
characterized by saturation and dead zone static nonlinearities and second-order models …

This paper addresses the design of an observer based adaptive neural controller for a class
of strict-feedback nonlinear uncertain systems subject to input delay, saturation and …