Invariant set theory has been recognized as an important tool for control design of constrained systems subject to disturbances. Indeed, for a given control law, entering an invariant set guarantees recursive state an...
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Invariant set theory has been recognized as an important tool for control design of constrained systems subject to disturbances. Indeed, for a given control law, entering an invariant set guarantees recursive state and input constraint satisfaction in closed-loop. this paper focuses on discrete-time linear systems subject to bounded matched additive disturbance. the problem of the joint synthesis of control laws and associated invariant sets that are optimized with regards to the state constraints is investigated. An interpolation method is used to enlarge the controllable region. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the flexibility claimed by the next generation production systems induces a deep modification of the behavior and the core itself of the controlsystems. Overconnectivity and data management abilities targeted by Indu...
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the flexibility claimed by the next generation production systems induces a deep modification of the behavior and the core itself of the controlsystems. Overconnectivity and data management abilities targeted by Industry 4.0 paradigm enable the emergence of more flexible and reactive controlsystems, based on the cooperation of autonomous and connected entities in the decision making process. For the last 20 years, holonic paradigm has become the core paradigm of those evolutions, and evolved in itself. this contribution aims at emphasizing the conceptual evolutions in the application of holonic paradigm in the control architectures of manufacturing systems and highlighting the current research trends in this field. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper presents a parametrization of static state-feedback controllers that stabilize a discrete-time linear system with single control input corrupted by disturbances with bounded amplitude. All stabilizing contr...
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this paper presents a parametrization of static state-feedback controllers that stabilize a discrete-time linear system with single control input corrupted by disturbances with bounded amplitude. All stabilizing controllers that suppress a quadratic form of the state are parametrized by a positive definite matrix corresponding to the weight on the state in cheap control. Asymptotic stability is also guaranteed by such controllers except for some extreme cases. this parametrization enables to evaluate the decrement of a quadratic Lyapunov function and the magnitude of control values. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper aims at designing a partial sampled-data state feedback control law for Markov jump linear systems (MJLS). the interesting feature of the control structure is that only the state variable is sampled, while ...
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this paper aims at designing a partial sampled-data state feedback control law for Markov jump linear systems (MJLS). the interesting feature of the control structure is that only the state variable is sampled, while the stochastic parameter that defines the Markov mode of the system used for control purposes is free to change at any time between samples. the main goal is to provide sufficient convex conditions for the existence of a solution for this class of control design problems in the context of H-infinity and H-2 performances, which are expressed through Differential Linear Matrix Inequalities (DLMI). the proposed method is implemented using LMIs facilities and provides a minimum guaranteed cost control in only one shot. An example is solved for illustration and comparison. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper an adaptive Nonlinear Model Predictive control (NMPC) scheme is proposed to controlthe gene expression of yeast using the application of osmostic shocks. the proposed control method handles the presence...
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In this paper an adaptive Nonlinear Model Predictive control (NMPC) scheme is proposed to controlthe gene expression of yeast using the application of osmostic shocks. the proposed control method handles the presence of delays, input constraints, as well as unknown model parameters during the controlled scenario. A controller was designed that optimized the integer-valued control sequence so that the output trajectory of the system follows a target reference signal. To tackle the unavoidable parameter uncertainties, a dedicated parameter estimation scheme is proposed that is then coupled to the NMPC design. Simulations are presented to assess the efficiency of the proposed framework in addressing the underlying control problem. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper considers the problem of data driven control of switched linear MIMO systems. Our goal is, given experimental data collected at different operating points and a priori model structure, to directly design a ...
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this paper considers the problem of data driven control of switched linear MIMO systems. Our goal is, given experimental data collected at different operating points and a priori model structure, to directly design a controller that super-stabilizes all plants in the consistency set, for any arbitrary switching sequence, without explicitly identifying the plant. Our main result shows that this problem can be recast into a convex optimization problem and efficiently solved, leading to a robust controller with guaranteed l(infinity) worse-case performance for any switching amongst all plants that could have generated the observed experimental data. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the production of customized products requires a flexible production process. Cyber-Physical Production systems (CPPS) are currently seen as one possibility to achieve this goal, since flexibility for the production p...
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the production of customized products requires a flexible production process. Cyber-Physical Production systems (CPPS) are currently seen as one possibility to achieve this goal, since flexibility for the production processes can be achieved by enabling cross-company collaboration. However, to fully implement CPPS for heterogeneous production systems an application and hardware platform independent, robust, and distributed software solution is required. this paper proposes a novel design and implementation for a Multi-Agent System (MAS), that can be used to create application independent CPPS. To support a variety of hardware platforms, the MAS was designed as a lightweight implementation in the programming language ANSI C. the proposed concept was evaluated by different use cases and experiments, which, in a first step, evaluated the efficiency of design and implementation. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper deals withthe design of robust H-infinity controllers for discrete-time descriptor systems with uncertain time-varying parameters in all state space matrices. It is assumed that the system matrices are aff...
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this paper deals withthe design of robust H-infinity controllers for discrete-time descriptor systems with uncertain time-varying parameters in all state space matrices. It is assumed that the system matrices are affine functions of uncertain bounded parameters with bounded variations. Firstly, a novel version of the Bound Real Lemma for linear discrete time varying descriptor systems is presented. then, the latter result is specialized for state-feedback design in terms of linear matrix inequality constraints in order to ensure the closed-loop admissibility while guaranteeing an upper-bound on the system H-infinity-norm for all admissible uncertainty. Numerical examples are presented to illustrate the proposed control design technique. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
An analysis of the impact of network and control in an interconnected system have been studied in this paper. Particularly, a simplified integrated approach is considered by modellingthe entire network of devices and...
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An analysis of the impact of network and control in an interconnected system have been studied in this paper. Particularly, a simplified integrated approach is considered by modellingthe entire network of devices and control in a multivariable feedback manner. In this way, the contribution of each device (via its impedance and/or control) and the network connection to responses observed can be understood in a tractable manner. the presented approach potentially provides a method that allows for manipulating observed responses via multivariable approaches. Results show the efficacy of the approach in providing a system perspective to dynamic responses by taking into account contributions. Analysis is carried out in frequency domain and validated withthe physical model of the system built in Simscape (TM) Power systems (TM) and controlsystems in MATLAB/Simulink (R). (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
With an increasing demand for more efficiency and less costs in industry, the integration between Intelligent Maintenance systems (IMS) and Spare Parts Supply Chain (SPSC) results in better availability of parts and s...
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With an increasing demand for more efficiency and less costs in industry, the integration between Intelligent Maintenance systems (IMS) and Spare Parts Supply Chain (SPSC) results in better availability of parts and services, avoiding breakdowns and unplanned production interruptions. Better demand planning results in better cost-effectivity as well, as parts and services can be better planned and always available when needed. the proper integration of IMS and SPSC has challenges related to semantic differences between areas with diverse concepts and vocabularies. this work intends to explore these challenges and propose a conceptual model for such integration, using existing ontologies in domains such as supply chain, maintenance and manufacturing to build on top of them an ontology aimed at allowing conceptual integration between IMS and SPSC and becoming a foundation to build future information systems to integrate these two areas. Its purpose is also further explored by using the characteristics of an ontology as tool for semantic description. Artificial intelligence, reasoning and context-aware systems are some of the areas that can benefit from the existence of an ontology to model IMS and SPSC integration. In this paper, we explore such characteristics along with integration and interoperability obtained by using an ontological model in IMS and SPSC integration. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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