Developing an innovative method to control the probability density function shape of the state response for nonlinear stochastic systems

Author:

Wang Lingzhi12ORCID,Xie Guo2ORCID,Qian Fucai23ORCID,Shangguan Anqi2

Affiliation:

1. School of Automation, Xi'an Key Laboratory of Advanced Control and Intelligent Process Xi'an University of Posts and Telecommunications Xi'an China

2. School of Automation and Information, Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China

3. Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University Xi'an China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference37 articles.

1. Polynomial filtering for nonlinear stochastic systems with state‐ and disturbance‐dependent noises

2. Control of linear systems according to the minimal variance criterion--A new approach to the disturbance problem

3. LiD QianFC FuPL. Mean‐variance control for discrete time LQG problems. Paper presented at: American Control Conference; Vol. 5 2003:4444‐4449; Denver Colorado.

4. LiD QianFC. Closed‐loop optimal control law for discrete time LQG problems with a mean‐variance objective. Paper presented at: Proceedings of the International Conference on Numerical Conference on Decision and Control; Vol. 3 2003:2291‐2296; Paradise Island; Bahamas.

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