Disturbance modeling for offset-free linear model predictive control
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Summary
A general disturbance model is presented that accommodates unmeasured disturbances entering through the process input, state, or output and conditions for which offset-free control is possible are stated for the combined estimator, steady-state target calculation, and dynamic controller.
- Type
- article
- Published
- 2002-08-01
- Cited by
- 483
- References
- 37
- OpenAlex
- https://openalex.org/W2009685984
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:121376768
Keywords
Control theory (sociology), Offset (computer science), Model predictive control, Disturbance (geology), Estimator
References
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- Model predictive heuristic control: Applications to industrial processes
- Nonlinear Model Predictive Control: A Tutorial and Survey
- Fundamental Process Control
- Application of Interior-Point Methods to Model Predictive Control
- Receding Horizon Recursive State Estimation
- Control of linear unstable systems with constraints
- Implementable model predictive control in the state space
- Constrained model predictive control: Stability and optimality
- The stability of constrained receding horizon control
- Constraint handing and stability properties of model‐predictive control
- Observing the states of systems with unmeasurable disturbances
- Model predictive control: past, present and future
- A state space formulation for model predictive control
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- A Closed-Loop Artificial Pancreas Using Model Predictive Control and a Sliding Meal Size Estimator
- Nonlinear Model Predictive Control and Dynamic Real Time Optimization for Large-scale Processes
- A comparative performance evaluation of nonlinear observers for a fed-batch evaporative crystallization process
- Improved Economic Performance of Municipal Solid Waste Combustion Plants by Model Based Combustion Control
- Two-stage observer based offset-free MPC.
- Modeling and control of an inverted pendulum turbine
- Custom optimization algorithms for efficient hardware implementation
- Simple implementation of optimal control for process systems
- Robust Control, Theory and Applications
- Non-linear model-based predictive control of a low-temperature gasoline combustion engine
- Stability and Computations in Cooperative Distributed Model Predictive Control
- Development and experimental demonstration of a plug-and-play multiple RTU coordination control algorithm for small/medium commercial buildings
- Augmented Models in Estimation and Control
- Modelling, optimisation and explicit model predictive control of anaesthesia drug delivery systems
- System Identification and Distributed Control for Multi-rate Sampled Systems
- Input-dependent adaptive immersion and Invariance control
- Application of model predictive control and analysis of switched systems to the direct voltage control of AC-DC converters
- Hybrid multi-parametric model predictive control of a nonlinear process approximated with a piecewise affine model
- A comparative study of state-space controllers with offset-free reference tracking
- Roll-out of model based control with application to paper machines
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