Non-linear model based predictive control
Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the `tail' of input output state trajectories, namely...
Main Authors: | Kouvaritakis, B, Cannon, M, Rossiter, J |
---|---|
Format: | Journal article |
Jezik: | English |
Izdano: |
Taylor and Francis Ltd
1999
|
Podobne knjige/članki
-
Linear quadratic feasible predictive control
od: Kouvaritakis, B, et al.
Izdano: (1998) -
Efficient non-linear model based predictive control
od: Cannon, M, et al.
Izdano: (2001) -
A Youla Parameter Approach to Robust Constrained Linear Model Predictive Control
od: Cheng, Q, et al.
Izdano: (2009) -
An algorithm for reducing complexity in parametric predictive control
od: Rossiter, J, et al.
Izdano: (2005) -
Who needs QP for linear MPC anyway?
od: Kouvaritakis, B, et al.
Izdano: (2002)