Aperiodically sampled stochastic model predictive control: analysis and synthesis

Aperiodically sampled stochastic model predictive control: analysis and synthesis

Stochastic model predictive control (MPC) is a fascinating field for research and of increasing practical importance since optimal control techniques have been intensively investigated in modern control system design. With the development of computer technologies and communication networks, networ...

Full description

Bibliographic Details
Main Author: Chen, Jicheng
Other Authors: Shi, Yang
Format: Others
Language:English
en
Published: 2021
Subjects:
Model predictive control
Self-triggered control
Distributed control
stochastic MPC
Online Access:http://hdl.handle.net/1828/12671
Q. Sun, J. Chen, and Y. Shi. Integral-type event-triggered model predictive control of nonlinear systems with additive disturbance. IEEE Transactions on Cybernetics, accepted for publication, 2020. [Online]. Available: http://dx.doi.org/10.1109/TCYB.2019.2963141.

Internet

http://hdl.handle.net/1828/12671
Q. Sun, J. Chen, and Y. Shi. Integral-type event-triggered model predictive control of nonlinear systems with additive disturbance. IEEE Transactions on Cybernetics, accepted for publication, 2020. [Online]. Available: http://dx.doi.org/10.1109/TCYB.2019.2963141.

Similar Items