In the present work, a new online fuzzy tuning linear quadratic regulator (FT-LQR) is
proposed for balancing and trajectory tracking of the rotary single inverted pendulum. The …

This paper presents a method for the automatic selection of weighting matrices for a linear-
quadratic regulator (LQR) in order to design an optimal active structural control system. The …

This paper deals with the modelling and the linear quadratic Gaussian (LQG) control design
of a quadrotor unmanned aerial vehicle (UAV) using different particle swarm optimisation …

Many studies have been conducted by researchers globally in the recent past on the control
schemes to enhance the performance of rotary single inverted pendulum (RSIP). The …

This paper deals with the modelling and advanced metaheuristics-based tuning of a Linear
Quadratic Gaussian (LQG) controller for a particular class of convertible Unmanned Aerial …

Particle swarm optimization (PSO) is an optimization algorithm that is simple and reliable to
complete optimization. The balance between exploration and exploitation of PSO searching …

In this paper, a smart optimized control technique is proposed. Structures are modelled
using a coupled finite element method (FEM) and boundary element method (BEM), where …

The Linear Quadratic Regulator is the effective controller for it guarantees stability and also
is robust but the choice of optimum weighting matrices Q and R is crucial for obtaining the …

This work proposes an analytical gradient-based optimization approach to determine the
optimal weight matrices that make the state and control input at the final time close to zero …

Purpose Design and improvement of control algorithms considering the existing limitations
have been always one of important challenges in the field of control of structures. Materials …