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 …
C Purcaru, RE Precup, D Iercan… - … on System Theory …, 2013 - ieeexplore.ieee.org
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 …
HG Abdallah, MS Elmorsi… - The International …, 2022 - journals.ekb.eg
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 …