Kernel-Based Hamilton–Jacobi Equations for Data-Driven Optimal and H-Infinity Control

Active Suspension vibration control using Linear H-Infinity and optimal control

In this paper, the 1/4 vehicle model have been simulated. The vehicle body acceleration using optimal control has been optimized. The vehicle ride comfort is achieved by using robust control, and it has been compared with optimal control. The active suspension can help the vehicle to have a good dynamic behavioral. In this paper, two degrees of freedom dynamic vibration model of a general ve...

H-infinity optimal control for micro-force sensing

This paper describes a micro-force sensing device where a H-infinity control scheme is used to actively balance the external force and provide the measurement. The force sensing principle is based on the active control of the electrostatic bipolar actuator (comb-drive) within the sensor. An external load force acts on the sensor and displaces the probe. The controller is set to balance the appl...

active suspension vibration control using linear h-infinity and optimal control

in this paper, the 1/4 vehicle model have been simulated. the vehicle body acceleration using optimal control has been optimized. the vehicle ride comfort is achieved by using robust control, and it has been compared with optimal control. the active suspension can help the vehicle to have a good dynamic behavioral. in this paper, two degrees of freedom dynamic vibration model of a general vehic...

Data-Driven Optimal Control for Adaptive Optics

Optimal Discretization of Analog Filters via Sampled-Data H-infinity Control Theory

In this article, we propose optimal discretization of analog filters (or controllers) based on the theory of sampled-data H∞ control. We formulate the discretization problem as minimization of the H∞ norm of the error system between a (delayed) target analog filter and a digital system including an ideal sampler, a zero-order hold, and a digital filter. The problem is reduced to discrete-time H...