A State-Dependent Riccati Equation-Based Robust Control Approach for Nonlinear Systems with Parametric Uncertainties-Reference-Cited by-同舟云学术

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A State-Dependent Riccati Equation-Based Robust Control Approach for Nonlinear Systems with Parametric Uncertainties

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
Short-container-title:

Author:

Bhusal Rajnish¹,Bhattacharjee Diganta²,Subbarao Kamesh³

Affiliation:

1. The University of Texas at Arlington,Faculty of Science and Engineering,Department of Mechanical Engineering and System Control,Arlington,USA,TX 76019

2. The University of Minnesota,Department of Aerospace Engineering and Mechanics,Twin Cities, Minneapolis,USA,MN 55455

3. The University of Texas at Arlington,Department of Mechanical and Aerospace Engineering,Arlington,USA,TX 76019

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867772.pdf?arnumber=9867772

Reference17 articles.

1. Stability for receding-horizon stochastic model predictive control

2. Robust LQR design for systems with probabilistic uncertainty

3. Design of linear parameter varying quadratic regulator in polynomial chaos framework

4. Polynomial chaos expansions for optimal control of nonlinear random oscillators

5. Stochastic nonlinear model predictive control with probabilistic constraints

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1. Attitude control of a drone subject to disturbance and structural fault;2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA);2022-12-19

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