Buch, Englisch, 548 Seiten, laminated boards, Format (B × H): 196 mm x 251 mm, Gewicht: 1184 g
Buch, Englisch, 548 Seiten, laminated boards, Format (B × H): 196 mm x 251 mm, Gewicht: 1184 g
ISBN: 978-0-19-856292-4
Verlag: Oxford University Press
In the classic example of a steam engine governor an increase in speed immediately results in a decrease in steam supplied, so slowing the engine. In many instances there is a considerable lag between the corrective action (decrease in steam) and resumption of the correct state. For example, the output of a base chemical plant may take minutes or even hours to respond to pressure of temperature changes imposed on the plant. In these cases predictive control is required. Without a detailed running history of the chemical plant (in this example) it is then necessary to use model-based predictive control (rather than experience based predictive control).
This book is devoted to all aspects of Model-Based Predictive Control, including new developments in the theory of the subect and current applications of MBPC to real processes. Topics included are: algorithm developments, industrial applications, and comparison with other approaches.
Autoren/Hrsg.
Weitere Infos & Material
- Advances in model-based predictive control
- Matching the uncertainty of the model given by global identification techniques to the robustness of a model-based predictive controller
- Stability and output terminal constraints in predictive control
- Use of qualitative models for the choice of design parameters of model-based predictive controllers
- Artificial neural network model-based control
- Neural network based adaptive predictive control
- Fuzzy generalized predictive controller
- A game theoretic approach to moving horizon control
- Pre-tuning of self-tuners
- Stabilizing predictive control: the singular transition-matrix case
- Robust adaptive predictive control
- Continuous-time generalised predictive control (CGPC): Implementation issues
- Evaluation of stochastic characteristics for a constrained GPC algorithm
- Model-based predictive control for two-dimensional dynamic processes
- Model-based predictive controller with Kalman filtering for state estimation
- On the relationship between GPC and PIP controllers
- A comparative study of GPC and DMC controllers
- Constrained generalized predictive control with dynamic programming
- Min-max model-based predictive control
- Stability and robustness of constrained model predictive control
- New sufficient conditions for global stability of receding horizon control for discrete-time nonlinear systems
- Nonlinear model-based predictive control
- Model-based predictive control methods based on non-linear and bilinear parametric system descriptions
- Stability results for constrained model predictive control
- Stability in constrained predictive control
- Stability of constrained MBPC using an internal model control structure
- Actuator nonlinearities in predictive control
- Advances in constrained generalized predictive control with application to a dynamometer model
- Application of constrained GPC for improving performance of controlled plants
- Generalised predictive control in clinical anaesthesia
- Modelling control in a large water treatment works
- Design and realization of a MIMO predictive controller for a 3-tank system
- Predictive control for target tracking
- Predictive control application in the machine-tool field
- Application of GPC to a solar power plant
