Analysis and Design of Softly Switched Model Predictive Control

Wang, Jingsong; Brdyś, Mietek A.

doi:10.3182/20050703-6-cz-1902.01553

Cited by 25 publications

(2 citation statements)

References 11 publications

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“…As opposed to the hard switching this is a soft switching. The soft switching was proposed and analyzed for linear constrained systems in (Wang et al, 2005;Brdys and Wang, 2005) and for the nonlinear systems in (Tran and Brdys, 2013). It was proposed to technically implement the soft switching by designing so called intermediate combined predictive control strategies in a form of a convex parameterization of the performance and constraint functions of the current (old) and desired (new) both strategies.…”

Section: Softly Switched Robustly Feasible Model Predictive Controlle...mentioning

confidence: 99%

Cooperative control in production and logistics

Monostori

Valckenaers²,

Dolgui

et al. 2015

Annual Reviews in Control

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This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic Control (IFAC).Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities.The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modelling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive Control (RFMPC). Two case studies are also discussed: i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS); and ii) an application of distributed RFMPC to a drinking water distribution system.

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Section: Softly Switched Robustly Feasible Model Predictive Controlle...mentioning

confidence: 99%

Cooperative control in production and logistics

Monostori

Valckenaers²,

Dolgui

et al. 2015

Annual Reviews in Control

View full text Add to dashboard Cite

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“…In Section 3, the authors introduce the OKID method to determine appropriate (low-) order decentralized discrete-time linear observers for an unknown interconnected largescale sampled-data nonlinear system (Tong et al, 2010;Yoo et al, 2010) and then using the digital redesign method to improve the performance of the OKIDbased observers. Section 4 integrates MPC and the soft switching approach (Wang et al, 2005) to design an active FTC scheme subject to input constraint and actuator fault. The corresponding simulations are illustrated in Section 5 to demonstrate the effectiveness of the methodology proposed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant tracker for a class of unknown interconnected large-scale sampled-data nonlinear systems with input constraint and actuator failure

Shiu

Tsai

Guo

et al. 2013

Journal of Vibration and Control

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Based on the model predictive control (MPC), the soft switching method, and the observer/Kalman filter identification (OKID) method, this paper presents the decentralized fault-tolerant trackers for a class of unknown interconnected large-scale multi-input multi-output sampled-data nonlinear systems with input constraint, actuator failure, and closedloop decoupling properties. The off-line OKID method is utilized to determine decentralized appropriate (low-) order discrete-time linear models for the class of unknown interconnected large-scale sampled-data systems by using known input-output sampled data. Then, to overcome the effect of modeling error on the identified linear model of each subsystem, an improved observer with the high-gain property based on the digital redesign approach will be presented. So, decentralized multiple MPC controllers are designed beforehand by using the identified linear models. Once a fault is detected in each decentralized controller, one of the backup control configurations in each decentralized subsystem is switched to using the soft switching approach. Thus, the decentralized fault-tolerant control with the closed-loop decoupling property can be achieved through the above approach with a high-gain property decentralized observer/ tracker.

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