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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mercieca, Julian | - |
dc.contributor.author | Fabri, Simon G. | - |
dc.date.accessioned | 2018-04-13T14:56:35Z | - |
dc.date.available | 2018-04-13T14:56:35Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Mercieca, J., & Fabri, S. G. (2012). A metaheuristic particle swarm optimization approach to nonlinear model predictive control. International Journal On Advances in Intelligent Systems, 5(3), 357-369. | en_GB |
dc.identifier.issn | 15420973 | - |
dc.identifier.issn | 15420981 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/29159 | - |
dc.description.abstract | This paper commences with a short review on optimal control for nonlinear systems, emphasizing the Model Predictive approach for this purpose. It then describes the Particle Swarm Optimization algorithm and how it could be applied to nonlinear Model Predictive Control. On the basis of these principles, two novel control approaches are proposed and anal- ysed. One is based on optimization of a numerically linearized perturbation model, whilst the other avoids the linearization step altogether. The controllers are evaluated by simulation of an inverted pendulum on a cart system. The results are compared with a numerical linearization technique exploiting conventional convex optimization methods instead of Particle Swarm Opti- mization. In both approaches, the proposed Swarm Optimization controllers exhibit superior performance. The methodology is then extended to input constrained nonlinear systems, offering a promising new paradigm for nonlinear optimal control design. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | John Wiley and Sons Ltd. | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Predictive control | en_GB |
dc.subject | Nonlinear control theory | en_GB |
dc.subject | Computational intelligence | en_GB |
dc.subject | Swarm intelligence | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.title | A metaheuristic particle swarm optimization approach to nonlinear model predictive control | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | International Journal On Advances in Intelligent Systems | en_GB |
Appears in Collections: | Scholarly Works - FacEngSCE |
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