Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. By solving a—potentially constrained—optimization problem, MPC determines the control law implicitly. This shifts the effort...
Morari, “Internal model control 1. a unifying review and some new results,” Ind. Eng. Chem. Process Des. and Dev., vol. 21, pp. 308–322, 1982. Article Google Scholar C. E. Garcia and M. Morari, “Internal model control 3. multivariable control law computation and tuning ...
Christofides, Panagiotis D., et al. "Distributed model predictive control: A tutorial review and future research directions." Computers & Chemical Engineering 51 (2013): 21-41. 1.introduction 面对安全性、环境可持续性和盈利性的要求,化工过程的运行一直广泛依赖于自动化控制系统。在过去的五十年里,这...
The review flags the zero weights on all four output variables. Since the zero weights are consistent with the design requirements and the other Hessian tests indicate that the quadratic programming problem has a unique solution, this warning can be ignored. To see the ...
For related examples, see Review Model Predictive Controller for Stability and Robustness Issues, Test MPC Controller Robustness Using MPC Designer, Compute Steady-State Output Sensitivity Gain, and Extract Controller. Note that many of the recommended parameter choices are incorporated in the default ...
Despite being a process control method that originated in industry, MPC is highly suited for application in agriculture because it can effectively address nonlinear and large time-delay systems. The aim of this review is to introduce MPC and describe its current application in agriculture. In this...
Table 3. Model predictive control literature review. Nomenclature is consistent with Table 1. Asterisk indicates a variable is estimated rather than measured. Optimisation problemObjectiveControl variableManipulated variableMeasured variableTesting Zhang and Lennox (2004) Multivariate Partial least squares based...
Model predictive control: Review of the three decades of development Three decades have passed since milestone publications by several industrialists spawned a flurry of research and industrial / commercial activities on mod... JH Lee - 《International Journal of Control Automation & Systems》 被引量...
Model Predictive Controldescribes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Mov...
摘要: Model Predictive Control (MPC) originated in the late seventies and has developed considerably since then. The term Model Predictive Control does not designate a specific control strategy but rather aDOI: 10.1007/978-3-540-72699-9_1 被引量: 115 ...