The design and analysis of reduced-order linear quadratic regulator (ROLQR) plus proportional double integral controller (PDIC) for enhancing the dynamic performance of the positive output elementary super lift Luo-converter (POESLLC) worked in continuous conduction mode (CCM) is carried out, The ultimate aim is designing the PDIC is to obtain the efficient output voltage regulation with zero s...

Magnetic Levitation System (MLS) has become a current study in the field of engineering due to its advantages such as low energy consumption and minimum friction. MLSs are nonlinear unstable systems. Due complexity structure difficulty controls, many advanced control theories can be applied on these systems performance controllers evaluated. In this article, Proportional-Integral-Derivative (PI...

Linearly solvable Markov Decision Process (LMDP) is a class of optimal control problem in which the Bellman's equation can be converted into a linear equation by an exponential transformation of the state value function (Todorov, 2009b). In an LMDP, the optimal value function and the corresponding control policy are obtained by solving an eigenvalue problem in a discrete state space or an eigen...

This paper presents a nonlinear controller based on a trajectory library. To generate the library, we combine two trajectory optimization methods: a parametric trajectory optimization method that finds coarse initial trajectories and Differential Dynamic Programming (DDP) that further refines these trajectories and generates linear local models of the optimal control laws. To construct a contro...

this paper presented comparison of the time specification performance between two type of controller for a Double Inverted Pendulum system. Double Inverted Pendulum is a non-linear ,unstable and fast reaction system. DIP is stable when its two pendulums allocated in vertically position and have no oscillation and movement and also inserting force should be zero. The objective is to determine th...

This paper considers the Linear Quadratic Regulator problem for linear systems with unknown dynamics, a central in data-driven control and reinforcement learning. We propose method that uses data to directly return controller without estimating model of system. Sufficient conditions are given under which this returns stabilizing guaranteed relative error when used design affected by noise. has ...

In the present work a new controller called Particle Swarm Optimization (PSO) based state feedback gain (K) controller has been proposed for frequency regulation of a two area system and then its performance is compared with earlier designed controllers such as Linear Quadratic Regulator– Proportional Integral (LQR-PI) controller and Integral controller. The performance comparison has been done...

and damper do not provide energy to the suspension system and control only the motion of the car body and wheel by limiting the suspension velocity according to the rate determined by the designer, T~ the above problem, active suspension systems have been proposed by various [3,4,51. Active suspension systems dynamically respond to changes in the road profile because of their ability to supply ...