Abstract
A non-linear predictive generalised minimum variance control algorithm is introduced for the control of nonlinear discrete-time state-dependent multivariable systems. The process model includes two different types of subsystems to provide a variety of means of modelling the system and inferential control of certain outputs is available. A state dependent output model is driven from an unstructured non-linear input subsystem which can include explicit transport delays. A multi-step predictive control cost function is to be minimised involving weighted error, and either absolute or incremental control signal costing terms. Different patterns of a reduced number of future controls can be used to limit the computational demands.
| Original language | English |
|---|---|
| Pages (from-to) | 2438-2450 |
| Number of pages | 13 |
| Journal | IET Control Theory and Applications |
| DOIs | |
| Publication status | Published - 29 Oct 2015 |
Keywords
- delays
- discrete time systems
- multivariable control systems
- signal costing
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