this work study the stability problem for discrete-time switched systems under arbitrary switching. the Lyapunov approach is employed to this end. the structure of the Lyapunov function is based on the existence of an...
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this work study the stability problem for discrete-time switched systems under arbitrary switching. the Lyapunov approach is employed to this end. the structure of the Lyapunov function is based on the existence of an augmented state vector that contains higher order shifted states. this structure will bring the switched dynamic from the original system to the Lyapunov function, providing a switched Lyapunov function. In order to check stability, LMI (Linear Matrix Inequalities) conditions are derived to solve the problem. the Lyapunov function proposed in this work has proved stability using considerably less scalar decision variables than other methods from the literature. A numerical example has been explored to discuss the potential of the method. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the passivity of discrete time linear stochastic systems with multiplicative noise is considered, where the systems inputs have bounded anisotropy. Using first principles analysis applying completing the square argume...
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the passivity of discrete time linear stochastic systems with multiplicative noise is considered, where the systems inputs have bounded anisotropy. Using first principles analysis applying completing the square arguments, it is proved that such systems are passive if a specific Riccati equation has a stabilizing positive semidefinite solution satisfying two additional conditions. the theoretical results are illustrated by a simple numerical example. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
A relevant task in the assembling industry is the management of the Available-To-Promise (ATP) quantity of the numerous components needed for Finished Products (FP) to reduce inventory costs and Order-To-Delivery (OTD...
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A relevant task in the assembling industry is the management of the Available-To-Promise (ATP) quantity of the numerous components needed for Finished Products (FP) to reduce inventory costs and Order-To-Delivery (OTD) lead time. this issue is more and more important as boththe fast launch of new products and a high variety of products are a source of competitive advantage, despite they increase the complexity of the component management. this paper proposes a Decision Support System (DSS) to help managers to identify the sets of FPs able to balance the components ATP quantities, meanwhile reducing OTD lead times. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper a practical approach to Nonlinear Model Predictive control (NMPC) of a robotic manipulator subject to nonlinear state constraints is presented, which leads to a successful experimental implementation of ...
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In this paper a practical approach to Nonlinear Model Predictive control (NMPC) of a robotic manipulator subject to nonlinear state constraints is presented, which leads to a successful experimental implementation of the control algorithm. the use of quasi-LPV modelling is at the core of this scheme as complex nonlinear optimization is replaced by efficient Quadratic Programming (QP) exploiting the quasi-linearity of the resulting model and constraints. the quasi-LPV model is obtained via velocity-based linearization which results in an exact representation of the nonlinear dynamics and enables stability guarantees with offset free control. the experimental results show the efficiency and efficacy of the algorithm, as well as its robustness to unmodelled dynamics. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Withthe need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also ce...
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Withthe need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also certain unknown process dynamics like their internal control logic. At the Institute of Energy systems Technology in Offenburg we have built a real-life microscale trigeneration plant and present in this paper a rational modelling procedure that satisfies the necessary characteristics for models to be applied in model predictive control for grid-reactive optimal scheduling of this complex energy system. these models are validated against experimental data and the efficacy of the methodology is discussed. their application in the future for the optimal scheduling problem is also briefly motivated. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper addresses the H-2 robust analysis problem for linear time-invariant continuous and discrete-time systems. New linear matrix inequality conditions are proposed for H-2 robust analysis in both cases. the prop...
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this paper addresses the H-2 robust analysis problem for linear time-invariant continuous and discrete-time systems. New linear matrix inequality conditions are proposed for H-2 robust analysis in both cases. the proposed conditions stem from a Lyapunov function that considers an augmented state vector containing, for continuous-time systems, higher order state derivatives and, for discrete-time systems, higher order state shifts. the Lyapunov matrix depends on the uncertain system matrices and also on the polynomial structure imposed to a set of matrices used in the analysis problem. Examples borrowed from the literature illustrate the performance, in terms of scalar decision variables and LMI rows, of the proposed method when compared to other approaches. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper a framework for the formal verification of safety properties of constrained hybrid systems is developed and a stabilization problem is addressed by using model predictive control ideas. By resorting to p...
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In this paper a framework for the formal verification of safety properties of constrained hybrid systems is developed and a stabilization problem is addressed by using model predictive control ideas. By resorting to piecewise affine state space descriptions, system properties are verified by means of forward and backward reachability concepts which are computed via set-theoretic arguments. Along similar lines, a low-demanding receding horizon controller is next derived to deal withthe underlying constrained stabilization problem. Simulations on a benchmark train-gate model show the effectiveness of the proposed methodology. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
A technique for the synthesis of state-feedback gains, capable of stabilizing discrete time systems affected by time-varying uncertain delays, is proposed in this paper. the technique extends another synthesis conditi...
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A technique for the synthesis of state-feedback gains, capable of stabilizing discrete time systems affected by time-varying uncertain delays, is proposed in this paper. the technique extends another synthesis condition presented in the literature, which is based on the application of a Lyapunov-Krasovskii function to generate a set of linear matrix inequalities (LMIs) and equality constraints. the method proposed in this paper is based on the dual representation of the delayed system, resulting in a LMI condition free of the equality constraints, thus reducing the complexity of the technique. A simulation example illustrates the validity of the proposed method. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the Gramian method to study of the stability of bilinear systems and the new technique of Gramians calculation is investigated. the method of early warning about the loss of stability of the electric power system is p...
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the Gramian method to study of the stability of bilinear systems and the new technique of Gramians calculation is investigated. the method of early warning about the loss of stability of the electric power system is proposed. the method is based on the nonlinear process original predictive model. It is shown that the suggested approach has a transparent physical interpretation, i.e., stability loss risk corresponds to the energy of ill-stable modes group. the predicting model is developed based on associative search technique for nonlinear dynamic plants. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
this paper describes methodology of milk-run system design and implementation. the methodology consists of seven basic steps and includes the use of simulation technology as a tool to support design, analysis, verific...
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this paper describes methodology of milk-run system design and implementation. the methodology consists of seven basic steps and includes the use of simulation technology as a tool to support design, analysis, verification and implementation of milk-run concept. Exemplary simulation model of milk-run system is based on hybrid modelling approach, using discrete-event and agent-based simulations. the approach is implemented in FlexSim simulation software. Paper contains a description and illustrations showing the most important elements of the milk-run system in simulation model. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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