With the aim of developing multiple input and multiple output (MIMO) coupling systems with a redundant parallel adjustment mechanism on the deployable antenna panel, a structural control integrated design methodology is proposed in this paper. Firstly, the modal information from the finite element model of the structure of the antenna panel is extracted, and then the mathematical model is estab...

SimMechanics can be used for modelling of mechanical systems of any degree of freedom in MATLAB/Simulink environment. Mechanical systems have physical properties that use physical modelling blocks in SimMechanics that relates to geometric and kinematic. By using this toolbox, it saves the time and effort to derive the equations of motion. SimMechanics provides a visualization and animation of m...

Path planning and tracking control are essential parts of autonomous vehicle research. Regarding path planning, the Rapid Exploration Random Tree Star (RRT*) algorithm has attracted much attention due to its completeness. However, still suffers from slow convergence high randomness. tracking, Linear Quadratic Regulator (LQR) is widely used in various applications efficient stability ease implem...

The actor-critic (AC) reinforcement learning algorithms have been the powerhouse behind many challenging applications. Nevertheless, its convergence is fragile in general. To study instability, existing works mostly consider uncommon double-loop variant or basic models with finite state and action space. We investigate more practical single-sample two-timescale AC for solving canonical linear q...

This article proposes a power sharing control method based on the linear quadratic regulator with optimal reference tracking (LQR-ORT) for three-phase inverter-based generators using inductor-capacitor-inductor (LCL) filters islanded mode. Compared to single-input single-output (SISO)-based controllers, LQR-ORT controller increases robustness margins and reduces value of error inputs during tra...

Absstract-The control of switching dc-dc converters is reviewed. Regarding it as a general linear quadratic regulator (LQR) problem, an innovative optimal and robust digital controller is proposed. The control strategy adopted can achieve good regulation, rejection of modest disturbances, and more significantly, the ability to cater to switching converters with RHP zeroes. This controller desig...

A hybrid neuronal genetic model is proposed with the objective of solving the Riccati Algebraic Equation (RAE) that is associated to the restricted optimization structure of the Linear Quadratic Regulator (LQR) problem. The application of this hybrid model of artificial intelligence will be performed in a wind power generation system, in particular, the double fed induction generator (DFIG). Fo...

In this paper, a continuous-time state space model approach is derived for congestion control in multiple hop communication networks. The model of single hop control is first proposed and then state feedback congestion control model of the entire network with multiple hops is suggested. A state space model equation is derived from the network model and linear quadratic regulator (LQR) as optima...

Autonomous underwater vehicles (AUV) are used in many applications like mining, aquaculture and military applications. AUV is highly nonlinear system; modeling and controller performance is challenging issue for the researchers. In this paper a linear quadratic regulator (LQR) and proportional integral derivative (PID) controllers are designed for the depth control system of AUV. These controll...