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- Title
Review and Performance Analysis of Nonlinear Model Predictive Control--Current Prospects, Challenges and Future Directions.
- Authors
Khather, Salam Ibrahim; Ibrahim, Muhammed A.; Abdullah, Abdullah I.
- Abstract
Nonlinear model predictive control (NMPC) has been recognized as an influential control strategy for intricate dynamical systems due to its superior performance over conventional linear control systems. The complexity associated with nonlinear dynamics is a recurring issue in a multitude of engineering applications, rendering the development of nonlinear models a challenging endeavor. The construction of such models, either through correlating input and output data or applying fundamental energy conservation laws, presents considerable difficulties. The absence of an effective model suitable for fundamental nonlinear processes is a marked deficiency, one that NMPCs are poised to address. NMPCs demonstrate a pronounced advantage over linear MPCs, particularly in managing the complexities and nonlinearities inherent in various systems. They exhibit efficacy in controlling nonlinear dynamics, including input/output constraints, objective functions, and computationally demanding optimization problems integral to real-time applications in process industries, power systems, and autonomous vehicular systems. This capability has prompted extensive research into nonlinear dynamics, thereby diminishing the disparity between the analysis of linear and nonlinear MPCs. This review provides a thorough examination of NMPCs, encompassing the fundamental principle, mathematical formulation, and various algorithms associated with NMPCs. A concise overview of NMPC applications, along with the challenges they pose, is also discussed.
- Subjects
NONLINEAR analysis; LINEAR control systems; PREDICTION models; ENERGY conservation; CONSERVATION laws (Physics); NONLINEAR statistical models
- Publication
Journal Européen des Systèmes Automatisés, 2023, Vol 56, Issue 4, p593
- ISSN
1269-6935
- Publication type
Article
- DOI
10.18280/jesa.560409