Optimal reduced-order quadratic solution for the non-Gaussian finite-horizon regulator problem
Filippo Cacace, Antonio Fasano, Alfredo Germani, Andrea Monteriù
Abstract
Filippo Cacace, Antonio Fasano, Alfredo Germani, Andrea Monteriù
Abstract
We consider the optimal regulator for non-Gaussian discrete-time stochastic systems with a quadratic cost function. We improve the method of [1], where the optimal control is derived from the classical LQG solution by substituting the linear filtering part with a quadratic optimal filter. In this paper we delete the unobservable part of the augmented state space, thus guaranteeing the internal stability of the resulting closed-loop system.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We consider the optimal regulator for non-Gaussian discrete-time stochastic systems with a quadratic cost function. We improve the method of [1], where the optimal control is derived from the classical LQG solution by substituting the linear filtering part with a quadratic optimal filter. In this paper we delete the unobservable part of the augmented state space, thus guaranteeing the internal stability of the resulting closed-loop system.
Key concepts: Linear-quadratic-Gaussian control, Linear-quadratic regulator, Control theory (sociology), Optimal control, Gaussian, Unobservable, Mathematics, Stochastic control