This paper presents an intelligent model; named as free model, approach for a closedloop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for such dynamic system, which is complex, difficult to know, or unknown, with input and...

This paper studies the exponential stabilization problem for discrete-time switched linear systems based on a control-Lyapunov function approach. It is proved that a switched linear system is exponentially stabilizable if and only if there exists a piecewise quadratic control-Lyapunov function. Such a converse control-Lyapunov function theorem justifies many of the earlier synthesis methods tha...

The choice and placement of sensors actuators is an essential factor determining the performance that can be realized using feedback control. This determination especially important, but difficult, in context controlling transitional flows. highly non-normal nature linearized Navier–Stokes equations makes flow sensitive to small perturbations, with potentially drastic consequences on closed-loo...

As the next generation of green power system, smart grids have gradually enhanced operation efficiency system. Meanwhile, application communication and intelligent technologies make grid more vulnerable to emerging cyber-physical attacks, such as false data injection attack (FDIA). Particularly, deception property FDIA on output measurement estimation can fool current security mechanism without...

Designing the optimal linear quadratic regulator (LQR) for a large-scale multiagent system is time consuming since it involves solving large-size matrix Riccati equation. The situation further exasperated when design needs to be done in model-free way using schemes such as reinforcement learning (RL). To reduce this computational complexity, we decompose LQR problem into multiple small-size pro...

This paper presents a method to design modal controller with simple 1-DOF models for an active suspension system. Full-state feedback controller, especially, linear quadratic regulator (LQR) and H∞ designed 7-DOF full-car model is hard implement in actual vehicles because there are so many state variables gain elements needed be precisely measured finely tuned, respecti...

Road surface roughness is the leading cause of vehicle oscillation. The suspension system used to dampen these oscillations. active equipped with a hydraulic actuator more efficient than passive one. Therefore, it replace system. article reviews and analyses models control algorithms for systems. In this article, author mentioned three dynamic commonly simulate oscillations: quarter-dynamic mod...

This paper presents an intelligent model, named as free model, approach for a closed-loop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for such dynamic system, which is complex, difficult to know, or unknown, with input an...

A standard assumption in traditional (deterministic and stochastic) optimal (minimizing) linear quadratic regulator (LQR) theory is that the control weighting matrix in the cost functional is strictly positive definite. In the deterministic case, this assumption is in fact necessary for the problem to be wellposed because positive definiteness is required to make it a convex optimization proble...