This paper proposes the design of fuzzy control systems with a reduced parametric
sensitivity making use of Gravitational Search Algorithms (GSAs). The parametric variations …

This paper proposes a novel Adaptive Charged System Search (ACSS) algorithm for the
optimal tuning of Takagi–Sugeno proportional–integral fuzzy controllers (T–S PI-FCs). The …

This paper proposes an optimal path planning algorithm for mobile robots based on a
hybridization between a Gravitational Search Algorithm (GSA) and a Particle Swarm …

Robotic systems have inherently nonlinear phenomena as joints undergo sliding and/or
rotating. This in turn requires that the system running states be predicted correctly. This …

This paper treats the design and implementation of a low-cost neuro-fuzzy control solution
for a class of servo systems with an integral component and variable parameters. A hybrid …

This dissertation consists of three parts which present new results in three areas of nonlinear
estimation and control. The first part presents systematic methods to synthesize interval …

This paper proposes a data-driven algorithm that solves an optimal control problem by
iteratively tuning the controller. The data-driven algorithm solves the optimization problem …

Contributions to Modeling and Optimization of Fuzzy Control Systems Page 1
CONTRIBUTIONS TO MODELING AND OPTIMIZATION OF FUZZY CONTROL SYSTEMS Teză …

Autonomous rendezvous and proximity operations of satellites in formation are the most
advanced technologies in space missions. This paper presents a formation flight control of …

This paper proposes a simple fuzzy control design for powertrain systems with three inertias.
Considering four operating modes of the clutch, the piecewise affine state-space models …