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A Parametrization of controllers Quadratically Stabilizing Single-Input Discrete-Time systems under Bounded Disturbances

A Parametrization of Controllers Quadratically Stabilizing S...

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Shingin, Hidenori Yamaguchi Univ Dept Mech Engn 2-16-1 Tokiwadai Ube Yamaguchi 7558611 Japan

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.

关键词： Stabilization Input disturbances Bounded disturbances Cheap control

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Robust H_∞ state-feedback design for discrete-time descriptor systems

Robust H∞ state-feedback design for discr...

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Rodriguez, Carlos Barbosa, Karina A. Coutinho, Daniel Univ Santiago Chile Dept Elect Engn Ave Ecuador 3519 Santiago Chile Univ Fed Santa Catarina Dept Automat & Syst BR-88040900 Florianopolis SC Brazil

This paper deals with the 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.

关键词： descriptor systems H-infinity control parameter-dependent system matrices time-varying discrete-time systems convex optimization

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Robust H_∞ control of glycemia in Type 2 Diabetes Mellitus via continous insulin plus Metformin

Robust H∞ control of glycemia in Type 2 D...

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2nd ifac Conference on modelling, Identification and control of Nonlinear systems (MICNON)

作者： Lopez-Palau, N. E. Flores-Gutierrez, C. P. Femat, R. IPICyT Div Matemat Aplicadas Grp Biodinam & Sistemas Alineales Camino Presa San Jose 2055Lomas 4a Secc San Luis Potosi 78216 Slp Mexico IPICYT Ctr Nacl Supercomp Camino Presa San Jose 2055Lomas 4a Secc San Luis Potosi 78219 Slp Mexico

Several studies have shown that an adequate therapy for glycemic control in patients with type 2 diabetes mellitus (T2DM) can delay or prevent complications derived from this condition. To achieve the control objectives an adequate therapy should be performed by using insulin alone or in combination with an oral hypoglycemic agent. However, the key point of glycemic control is to determine the amount of insulin to be delivered. In order to achieve the above different strategies have been proposed, one of them is the design of feedback control algorithms. In this article a robust feedback control algorithm of glycemia in T2DM was designed. The algorithm determines the continuous insulin infusion to be delivered to maintain normoglycemia considering a combined therapy with a dose of metformin. The problem approach was to find a controller that minimized in the sense of the norm: i) the difference between the glycemia of a T2DM patient and a healthy subject (tracking problem) and ii) the effect of disturbances due to glucose intake and noise from a glucose sensor. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robust control Dynamic modelling Closed-loop control biomedical systems Pharmacokinetic-Pharmacodynamic modelling

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Data Driven Robust Superstable control of Switched systems

Data Driven Robust Superstable Control of Switched Systems

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Dai, Tianyu Sznaier, Mario Northeastern Univ ECE Dept Boston MA 02115 USA

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.

关键词： Data Driven MIMO control Superstable control Convex Optimization

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Gain-scheduled control for LPV systems with scheduling parameters transmitted through a Markov channel

Gain-scheduled control for LPV systems with scheduling param...

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Palma, Jonathan M. Morais, Cecilia F. Oliveira, Ricardo C. L. F. Univ Campinas UNICAMP Campinas Sch Elect & Comp Engn Campinas SP Brazil

This work investigates the problem of H-infinity state feedback control for linear parameter varying systems whose dynamics is subject to jumps, emphasizing networked control problems in which the parameters and output or input signals may not be available due to packet loss. The networked control problem is formulated in terms of non-homogeneous Markovian jump linear systems and sufficient synthesis conditions are given in terms of parameter-dependent linear matrix inequalities, that can be solved using polynomial approximations and LMI relaxations. The main advantages of the proposed approach are the theoretical guarantees of stability and performance in the presence of switching (according to the packet loss) between robust and gain-scheduled controllers. The validity of the proposed technique is carried out by means of numerical examples, one of them based on a practical application. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： LPV systems gain-scheduled control robust control H-infinity state-feedback Markov models

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Partial Sampled-Data State Feedback control of Markov Jump Linear systems

Partial Sampled-Data State Feedback Control of Markov Jump L...

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Cunha, Rafael F. Gabriel, Gabriela W. Geromel, Jose C. Univ Estadual Campinas Sch Elect & Comp Engn BR-13083852 Campinas SP Brazil

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.

关键词： Sampled-data systems Networked control systems LMI and convex optimization Markov process

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Model Predictive control and Parameter Estimation applied to Gene Expression in Yeast

Model Predictive Control and Parameter Estimation applied to...

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Joint Meeting of the 2nd ifac Workshop on Linear Parameter Varying systems (LPVS) / 9th ifac symposium on Robust control Design (ROCOND)

作者： Cochrane, Jodie A. Alamir, Mazen Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW Australia Univ Grenoble Alpes CNRS Grenoble INP GIPSA Lab F-38000 Grenoble France

In this paper an adaptive Nonlinear Model Predictive control (NMPC) scheme is proposed to control the 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.

关键词： Nonlinear predictive control adaptive control nonlinear system identification discontinuous control delayed systems systems biology

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Evolution of holonic control architectures towards Industry 4.0: A short overview

Evolution of holonic control architectures towards Industry ...

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16th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Cardin, Olivier Derigent, William Trentesaux, Damien Univ Nantes LUNAM Univ CNRS LS2NUMR 6004 2 Ave Pr Jean Rouxel F-44470 Carquefou France CNRS Res Ctr Automat Control Nancy UMR 7039 Campus SciBP 70239 F-54506 Vandoeuvre Les Nancy France Univ Valenciennes & Hainaut Cambresis UVHC Valenciennes CNRS LAMIHUMR 8201 Valenciennes France

The flexibility claimed by the next generation production systems induces a deep modification of the behavior and the core itself of the control systems. Overconnectivity and data management abilities targeted by Industry 4.0 paradigm enable the emergence of more flexible and reactive control systems, 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.

关键词： Manufacturing systems Industrial control Holonic manufacturing systems control architecture Industry 4.0

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Overview of fault-tolerant control methods for discrete event systems

Overview of fault-tolerant control methods for discrete even...

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10th International-Federation-of-Automatic-control (ifac) symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Fritz, Raphael Zhang, Ping Univ Kaiserslautern Inst Automat Control Kaiserslautern Germany

Fault-tolerant control (FTC) is an active research field promoted by the increased demand on reliability, availability and safety of manufacturing systems. In this paper, an overview of the approaches for FTC of discrete event systems is presented. The focus is on automata and Petri nets, as they are widely used frameworks. The active and passive FTC approaches are presented and their application to different modes of the fault process is shown. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Fault-tolerant control discrete event systems Petri nets automata active fault-tolerant control passive fault-tolerant control

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Soft Sensors of Power systems Stability Based on Predictive Models of Dynamic Discrete Bilinear systems

Soft Sensors of Power Systems Stability Based on Predictive ...

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16th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Yadykin, I. Lototsky, V. Bakhtadze, N. Maximov, E. Nikulina, I. VA Trapeznikov Inst Control Sci 65 Profsoyuznaya Moscow 117997 Russia

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.

关键词： stability control Gramian method system identification virtual model associative search knowledge base

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