This paper deals with the attitude tracking control problem for a 2 DoF laboratory helicopter
using optimal linear quadratic regulator (LQR). As the performance of the LQR controller …

The development of unmanned agricultural tractors (UAT) represents a significant step
towards intelligent agricultural equipment. UAT technology is expected to lighten the …

The application of industrial robots has greatly increased in recent years making production
systems more and more efficient. With this in mind, increasingly efficient controllers are …

The event-triggered predictive control based on RBF-ARX model (state-independent
autoregressive with exogenous inputs constructed by radial basis function network) is …

This paper proposes a novel in-line direct adaptive Linear Quadratic Regulator (LQR) using
Model Reference Adaptive Control (MRAC) scheme for tracking control of a 2 DoF …

This paper presents a comparative study of different linear quadratic regulator (LQR)-based
attitude controllers design for a 3-DOF helicopter system. Firstly, dynamics model of 3-DOF …

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 presents an analytical approach for solving the weighting matrices selection
problem of a linear quadratic regulator (LQR) for the trajectory tracking application of a …

This paper presents the adaptive model predictive control approach for a two-wheeled robot
manipulator with varying mass. The mass variation corresponds to the robot picking and …

This paper presents an adaptive inertia weight particle swarm optimization (AIWPSO)
employed for solving the multiobjective weight optimization problem of LQR applied for the …