Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control
The stability of stochastic Model Predictive Control (MPC) subject to additive disturbances is often demonstrated in the literature by constructing Lyapunov-like inequalities that ensure closed-loop performance bounds and boundedness of the state, but tight ultimate bounds for the state and non-cons...
Main Authors: | Muñoz-Carpintero, D, Cannon, M |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers
2020
|
Similar Items
-
On the convergence of stochastic MPC to terminal modes of operation
by: Munoz-Carpintero, D, et al.
Published: (2019) -
On prediction strategies in stochastic MPC
by: Muñoz-Carpintero, D, et al.
Published: (2011) -
Strategies in robust and stochastic model predictive control
by: Munoz Carpintero, DA
Published: (2014) -
Efficient prediction strategies for disturbance compensation in stochastic MPC
by: Kouvaritakis, B, et al.
Published: (2013) -
Stochastic convergence /
by: 389129 Lukacs, Eugene
Published: (1975)