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Predictive control in the Era of Networked control and Communication - A Perspective

IFAC-PapersOnLine 2015年第23期48卷 322-331页

作者： Lucia, S. Kögel, M. Zometa, P. Quevedo, D.E. Findeisen, R. Laboratory for Systems Theory and Automatic Control Otto-von-Guericke Universität Magdeburg Magdeburg Germany Department of Electrical Engineering University of Paderborn Paderborn Germany

Advances in communication, information technology, and computation have led to a rapid change of today's world. Actuation, communication, sensing, and control are becoming ubiquitous. While this offers many possibilities - Smart cities, Smart buildings, Smart devices, Smart factories, Smart health monitoring a smarter world - there are also several challenges which need to be tackled. How can one handle the increasing complexity? Can one guarantee safety and performance of such networked control systems subject to erroneous communication, delays, and failures of sensors and actuators? Is it possible to design control systems with plug and play capacity? How can one guarantee privacy of the controlled subsystems while exchanging information? Predictive control is a well suited control approach to tackle some of these challenges, since its allows to directly take constraints, preview information, as well as models of the physical world into *** limit our attention to three areas we believe predictive control methods can have a significant impact: the efficient and easy implementation of predictive control on the omnipresent embedded computation hardware, the control under resource limitations and network effects, and the control on the network level, outlining a contract based control approach which allows a structured, yet flexible hierarchical *** briefly review results from these fields and outline some solutions related to our work, that provide possible solutions to the considered challenges. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Networked control systems Cyber Physical System Embedded systems Embedded computation Health monitoring Networked controls Predictive control Predictive control methods Resource limitations Sensors and actuators systems of systems

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A high-sensitivity two-dimensional inclinometer based on two etched-chirped fiber gratings

A high-sensitivity two-dimensional inclinometer based on two...

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International Conference on Photonics in Switching (PS)

作者： Hung-Ying Chang Kuan-Ting Li Po-Chia Huang Jung-Sheng Chiang Nai-Hsiang Sun Wen-Fung Liu Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan Department of Automatic Control Engineering Feng-Chia University Taichung Taiwan Department of Electrical Engineering Feng-Chia University Taichung Taiwan Department of Electrical Engineering I-Shou University Kaohsiung Taiwan

We proposed a novel high-sensitivity dual-axis fiber inclinometer based on two etched chirped fiber Bragg gratings (CFBGs) with the CFBG1-sensitivity of 0.245 nm/degree and CFBG2-sensitivity of 0.215 nm/degree respect... 详细信息

ISBN: (纸本)9781509021475

关键词： Optical fiber sensors Optical fibers Chirp Stimulated emission

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A novel global harmony search method based off-line tuning of RFNN for adaptive control of uncertain nonlinear systems

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International Journal of Intelligent Computing and Cybernetics 2015年第1期8卷 69-98页

作者： Fouad Allouani Djamel Boukhetala Farès Boudjema Gao Xiao-Zhi Automatic Control Department Ecole Nationale Polytechnique(ENP)AlgiersAlgeria Department of Industrial Engineering University of KhenchelaKhenchalaAlgeria Department of Electrical Engineering and Automation Aalto University School of Electrical EngineeringAaltoFinland

Purpose–The two main purposes of this paper are:first,the development of a new optimization algorithm called GHSACO by incorporating the global-best harmony search(GHS)which is a stochastic optimization algorithm recently developed,with the ant colony optimization(ACO)***,design of a new indirect adaptive recurrent fuzzy-neural controller(IARFNNC)for uncertain nonlinear systems using the developed optimization method(GHSACO)and the concept of the supervisory ***/methodology/approach–The novel optimization method introduces a novel improvization process,which is different from that of the GHS in the following aspects:a modified harmony memory representation and *** use of a global random switching mechanism to monitor the choice between the ACO and *** additional memory consideration selection rule using the ACO random proportional transition rule with a pheromone trail update *** developed optimization method is applied for parametric optimization of all recurrent fuzzy neural networks adaptive controller *** addition,in order to guarantee that the system states are confined to the safe region,a supervisory controller is incorporated into the IARFNNC global ***–First,to analyze the performance of GHSACO method and shows its effectiveness,some benchmark functions with different dimensions are *** results demonstrate that it can find significantly better solutions when compared with the Harmony Search(HS),GHS,improved HS(IHS)and conventional ACO *** addition,simulation results obtained using an example of nonlinear system shows clearly the feasibility and the applicability of the proposed control method and the superiority of the GHSACO method compared to the HS,its variants,particle swarm optimization,and genetic algorithms applied to the same ***/value–The proposed new GHS algorithm is more efficient than the original HS method and its most known variants

关键词： Adaptive recurrent fuzzy-neural control Ant colony optimization(ACO) Harmony Search(HS) Hybrid optimization methods

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electrical tree initiation and propagation in silicone rubber under long-term AC aging

Electrical tree initiation and propagation in silicone rubbe...

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2016 IEEE Conference on electrical Insulation and Dielectric Phenomena, CEIDP 2016

作者： Zhang, Yunxiao Zhou, Yuanxiang Zhang, Ling Ming, Chen Zhang, Xu Yanchao, Sha State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing100084 China North China Electric Power Research Institute Co Ltd. Beijing100045 China

ISBN: (纸本)9781509046546

electrical tree break-down is the major failure problem in cable accessories, however, mechanisms of the electrical tree initiation and propagation are still lack of deeply research, especially in silicone rubber (SIR) which is widely used as insulation material for cable accessories. Long-term aging (0- 1000 h) experiments under the different voltages were conducted to observe electrical tree initiation and propagation processes. In trees initiation stage, with increasing of applied voltage, electrical tree initiation probability becomes larger, while tree initiation time dramatically decreases. The experiment observations demonstrated four shapes of trees which are dominated. As applied voltage increasing, the numbers of electrical trees life-cycles increased and exponential relationship was found between tree length and magnitude of applied voltage. It is noted that charges, whose energy exceeding a certain critical value, destroy microstructure of dielectric accumulatively via injection and extraction, and cause electrical trees initiate when it accumulates to a visible extent. © 2016 IEEE.

关键词： Life cycle

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Hybrid single node genetic programming for symbolic regression 7

Hybrid single node genetic programming for symbolic regressi...

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7th International Joint Conference on Computational Intelligence, IJCCI 2015

作者： Kubalìk, Jiřì Alibekov, Eduard Žegklitz, Jan Babuška, Robert Czech Institute of Informatics Robotics and Cybernetics CTU in Prague Prague Czech Republic Department of Cybernetics Faculty of Electrical Engineering CTU in Prague Prague Czech Republic Delft Center for Systems and Control Delft University of Technology Delft Netherlands

ISBN: (纸本)9783662535240

This paper presents a first step of our research on designing an effective and efficient GP-based method for symbolic regression. First, we propose three extensions of the standard Single Node GP, namely (1) a selection strategy for choosing nodes to be mutated based on depth and performance of the nodes, (2) operators for placing a compact version of the best-performing graph to the beginning and to the end of the population, respectively, and (3) a local search strategy with multiple mutations applied in each iteration. All the proposed modifications have been experimentally evaluated on five symbolic regression benchmarks and compared with standard GP and SNGP. The achieved results are promising showing the potential of the proposed modifications to improve the performance of the SNGP algorithm. We then propose two variants of hybrid SNGP utilizing a linear regression technique, LASSO, to improve its performance. The proposed algorithms have been compared to the state-of-the-art symbolic regression methods that also make use of the linear regression techniques on four real-world benchmarks. The results show the hybrid SNGP algorithms are at least competitive with or better than the compared methods. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Genetic programming

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Stable Stochastic Predictive controller under Unreliable Up-link

Stable Stochastic Predictive Controller under Unreliable Up-...

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European control Conference

作者： Prabhat K. Mishra Debasish Chatterjee Daniel E. Quevedo Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Department of Electrical Engineering (EIM-E) Paderborn University Germany

ISBN: (纸本)9781509025923

This article presents a systematic overview of stable stochastic predictive control, its underlying concepts, and a transmission protocol which does not require any computational or storage facility at the actuator end. We assume that the control channel has i.i.d. packet dropouts. Our results ensure mean square boundedness of the states of the closed-loop plant for any positive bound on control in the presence of potentially unbounded additive noise. The proposed control mechanism stabilizes the system for any non-zero probability of successful transmission.

关键词： Stable Stochastic Predictive controller Unreliable Up-link successful

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Predictive control design on an embedded robust output-feedback compensator for wind turbine blade-pitch preview control

Predictive control design on an embedded robust output-feedb...

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European control Conference

作者： Wai Hou Lio J.A. Rossiter Bryn Ll. Jones Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield S1 3JD U.K

ISBN: (纸本)9781509025923

The use of upstream wind measurements has motivated the development of blade-pitch preview controllers to improve rotor speed tracking and structural load reduction beyond that achievable via conventional feedback design. Such preview controllers, typically based upon model predictive control (MPC) for its constraint handling properties, alter the closed-loop dynamics of the existing blade-pitch feedback control system. This can result in the robustness properties of the original closed-loop system being no longer preserved. As a consequence, the aim of this work is to formulate a MPC layer on top of a given output-feedback controller, with a view to retaining the closed-loop robustness and frequency-domain performance of the latter. The separate nature of the proposed controller structure enables clear and transparent qualifications of the benefits gained by using preview and predictive control. This is illustrated by results obtained from closed-loop simulations upon a high-fidelity turbine, showing the performance comparison between a nominal feedback compensator and the proposed MPC-based preview controller.

关键词： Predictive control design embedded robust output-feedback compensator wind turbine blade-pitch preview control

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Replica of an Advanced Takagi-Sugeno discrete observer without matrix inversion

Replica of an Advanced Takagi-Sugeno discrete observer witho...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Thomas Laurain Jimmy Lauber Reinaldo Martinez Palhares Automatic Control and Human-Machine Systems Valenciennes France Department of Electronics Engineering Federal University of Minas Gerais Belo Horizonte Brazil

ISBN: (纸本)9781509006274

This paper aims to present a systematic methodology for designing a Replica of an Advanced Takagi-Sugeno (RATS) discrete observer. Advance observers for nonlinear systems under Takagi-Sugeno representation have been designed for years using efficient structure such as non-PDC (Parallel Distributed Compensation), which it is powerful and, in some cases, it is the only observer able to estimate an unknown value. However, in spite of these advantages, this observer strategy presents an inconvenient: The use of matrix inversion. This paper will present the RATS observer which is equivalent an observer using the non-PDC structure without matrix inversion. By a stability analysis, not only the efficiency is proved but also its validity. Finally, some simulation results will emphasize the originality and the power of the proposed RATS observer.

关键词： Observers Lyapunov methods Rats Takagi-Sugeno model Stability analysis Nonlinear systems Estimation error

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Estimation and Measurement of Closed-loop Delays in the Actual WACS of Guizhou Power Grid

Estimation and Measurement of Closed-loop Delays in the Actu...

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IEEE Power and Energy Society General Meeting

作者： Fang Zhang Lin Cheng Xiong Li Min Zeng Yuanzhang Sun Joe H. Chow State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University School of Electrical Engineering Wuhan University Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)9781509041695

The characterization of the closed-loop delays in a wide-area control system (WACS) is an important foundation for further research. The method to estimate and measure the closed-loop delay in actual WACSs were proposed in this paper. Then, the closed-loop delays in the actual WACS in Guizhou Power Grid in China were measured and analyzed. Also, the measured delays were used to verify the normal distribution estimation model proposed in previous research. The results indicate that the closed-loop delay in the WACS followed a normal distribution.

关键词： CLOSED LOOP Power grids Gaussian distribution delay WACS

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Distributed model predictive control of constrained spatially-invariant interconnected systems in input-output form

Distributed model predictive control of constrained spatiall...

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American control Conference

作者： Qin Liu Hossam S. Abbas Javad Mohammadpour Simon Wollnack Herbert Werner Complex Systems Control Laboratory College of Engineering University of Georgia Athens 30602 USA Electrical Engineering Department Faculty of Engineering Assiut University 71515 Egypt Institute of Control Systems Hamburg University of Technology 21075 Germany

ISBN: (纸本)9781467386838

This paper proposes a non-iterative, Lyapunov-based distributed model predictive control (MPC) design for invariant spatially-interconnected systems comprised of a network of subsystems with coupled dynamcis and subject to local state and/or input constraints. Considered here is the distributed MPC design for linear systems in input-output form with fixed-structure local state-feedback-like control law. The proposed distributed MPC design approach ensures asymptotic stability and recursive feasibility, and its online implementation can be formulated as solving a linear matrix inequality (LMI) problem defined at the subsystem level. Simulation results using a heat equation in one-dimensional space demonstrate the merits and effectiveness of the proposed approach.

关键词： Closed loop systems Interconnected systems Stability analysis Asymptotic stability Nickel Predictive control Cost function large-scale systems distributed model predictive control Closed loop systems asymptotic stability region Cost functions Predictive control INPUT-OUTPUT Stability analysis Nickel Maximum Allowable Concentration SUB-SYSTEM

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