This paper provides linear matrix inequality (LMI) analysis and synthesis conditions for the design of H-infinity robust and gain-scheduled static output feedback controllers, for discrete-time linear parameter-varyin...
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This paper provides linear matrix inequality (LMI) analysis and synthesis conditions for the design of H-infinity robust and gain-scheduled static output feedback controllers, for discrete-time linear parameter-varying systems. It is assumed that the system matrices have a homogeneous polynomial dependence of arbitrary degree on the time-varying scheduling parameters, which are assumed to vary inside a polytope and to have known bounds on their rates of variation. The geometric properties of the polytopic domain are exploited in order to derive a finite set of LMIs that takes into account bounds on the variation rate of the scheduling parameters. LMI conditions are obtained using a quadratic Lyapunov function with a homogeneous polynomial dependence on the scheduling parameters at successive instants of time. Numerical results show the benefits of the proposed approach. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This study investigates the computer-regulated propofol administration in anesthesia during medical interventions considering output feedback and robust PID control. The paper applies the Affine Tensor Product Model T...
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This study investigates the computer-regulated propofol administration in anesthesia during medical interventions considering output feedback and robust PID control. The paper applies the Affine Tensor Product Model Transformation to derive the appropriate polytopic quasi-LPV representation of the closed-loop dynamics. This model form enables the use of LMI-based optimisation techniques to evaluate the closed loop performance. Despite the highly non-convex nature of this output feedback problem, the PID gains can be locally tuned through simplex optimisation. The proposed method provides a systematic way of tuning PIDcontrolled propofol administration for individual patients with theoretically established worst case performance measures. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
While Radio Frequency Identification (or RFId) technology has gained significant traction in the downstream operations and industries like retail, adoption upstream of the value-chain has been much slower. Few reporte...
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While Radio Frequency Identification (or RFId) technology has gained significant traction in the downstream operations and industries like retail, adoption upstream of the value-chain has been much slower. Few reported cases of implementations in job-shops exists today for several reasons, key among which is the relative cost of the technology and uncertainties regarding the expected results. In this paper, we present the insights from the evaluation and pre-implementation stage of a project to implement RFId technology in the customized products' department of a large process manufacturing company in Europe. The case company is an innovation leader in the European pipe and drainage systems' manufacturing industry. Preliminary findings indicate the need to align RFId implementation with strategic goals to minimize the risk associated with the implementation and increase the chance of success. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper provides a discussion about modularization of production systems equipment (i.e. logistic or manufacturing equipment) with embedded controllers that are at the basis of the paradigm of CPS (Cyber Physical S...
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This paper provides a discussion about modularization of production systems equipment (i.e. logistic or manufacturing equipment) with embedded controllers that are at the basis of the paradigm of CPS (Cyber Physical systems). The paper strongly grounds both on a solid scientific background and on an industrial case study implementation, thus, providing empirical evidences that the authors of this paper tested within an industrial pilot. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents a less conservative LMI-based method for the coordinated design of robust decentralized damping controllers in the power systems context. The algorithm results from modifications made in a previous...
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This paper presents a less conservative LMI-based method for the coordinated design of robust decentralized damping controllers in the power systems context. The algorithm results from modifications made in a previous LMI design procedure widely explored in the literature. More precisely, slack variables are introduced in the synthesis procedures to remove structural constraints on the Lyapunov matrix, potentially reducing the conservativeness inherent in this type of approach. The advantage of the proposed technique is verified in an IEEE benchmark power system application and the designed controller performance is observed with eigenvalue analyses and non-linear time domain simulations. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Our contribution deals with a class of Optimal control Problems (OCPs) of dynamic systems with randomly varying time delays. We study the minimax-type OCPs associated with a family of delayed differential equations. T...
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Our contribution deals with a class of Optimal control Problems (OCPs) of dynamic systems with randomly varying time delays. We study the minimax-type OCPs associated with a family of delayed differential equations. The presented minimax dynamic optimization has a natural interpretation as a robustness (in optimization) with respect to the possible delays in control system under consideration. A specific structure of a delayed model makes it possible to reduce the originally given sophisticated OCP to an equivalent convex program in an Euclidean space. This analytic transformation implies a possibility to derive the necessary and sufficient optimality conditions for the original OCP. Moreover, it also allows consideration of the wide range of effective numerical procedures for the constructive treatment of the obtained convex like OCP. The concrete computational methodology we follow in this paper involves a gradient projected algorithm. We give a rigorous formal analysis of the proposed solution approach and establish the necessary numerical consistence properties of the resulting robust optimization algorithm. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Regenerated tissue is a one of the wide developing research topics of nowadays. The characterization of tissue in culture permits to regulate its final mechanical properties and to test the influence of pharmaceutical...
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Regenerated tissue is a one of the wide developing research topics of nowadays. The characterization of tissue in culture permits to regulate its final mechanical properties and to test the influence of pharmaceutical and cosmetic products on it. For this purpose, an embedded vision system was developed in order to characterize the mechanical properties of tissue in culture. Thus, the aim of the present study was to develop an embedded, automated and portable cell count algorithm which can quantify the fibroblast cells from the fluorescent images taken by developed FPGA driven embedded high definition (HD) camera module. The developed algorithm was integrated into "uCell" software and tested on fluorescent images. The automated cell counting results were compared with manual counting and showed that the algorithm is reliable in 95% percentage of cases. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Thermal runaways cause significant safety issues and financial loss for industrial batch reactors due to the disruption of normal operation. The intensification of processes is restricted, since controlsystems are no...
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Thermal runaways cause significant safety issues and financial loss for industrial batch reactors due to the disruption of normal operation. The intensification of processes is restricted, since controlsystems are not capable of detecting stability boundaries of the system and hence are overly conservative. For this purpose Lyapunov exponents are introduced as a stability criterion. It is shown that Lyapunov exponents can correctly predict the stability of batch reactor systems. This stability criterion is embedded in Model Predictive control, which results in a novel control scheme. This scheme allows the controlled increase of the reaction temperature to achieve a target conversion in a reduced completion time of reaction. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper a novel approach for observer-based suspension control is presented. The control concept consists of two parts: An unknown-input state observer estimating both unknown forces acting upon the suspension s...
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In this paper a novel approach for observer-based suspension control is presented. The control concept consists of two parts: An unknown-input state observer estimating both unknown forces acting upon the suspension system and a model-based control algorithm. The major advantage of the proposed concept is that it does not require the knowledge of uncertain wheel parameters. The observer relies on ideas of sliding mode control whereas the control algorithm pursues the goal of adjusting a desired suspension damping with the help of disturbance feedforward. The performance of the concept is demonstrated in numerical simulation and experiment. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Two important paradigms in control theory are the classic nonlinear H-2 and H-infinity control approaches. Their background theory are well developed, and several applications have demonstrated their efficiency. Despi...
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Two important paradigms in control theory are the classic nonlinear H-2 and H-infinity control approaches. Their background theory are well developed, and several applications have demonstrated their efficiency. Despite many advantages, they suffer from deficiencies such as minimum settling-time and minimum overshoot. An interesting approach to solve these limitations is the formulation of both controllers in the Sobolev space. Thanks to the nature of the W - norm, the cost variable and its time derivatives are taken into account in the cost functional, leading to controllers with improved transient and steady-state performance. Thus, aiming to deal with mechanical systems this work reformulates the H-2 and H-infinity controllers in the Sobolev space. It is shown that, for particular systems, the W-2 and W-infinity optimal controllers are equivalent. An optimal solution for the class of fully actuated mechanical systems is proposed. The controller is corroborated by numerical experiments conducted with a quadrotor UAV. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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