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Smart Energy-Aware Sensors for Event-Based control

Smart Energy-Aware Sensors for Event-Based Control

引用

IEEE Annual Conference on Decision and control

作者： Nicolas Cardoso de Castro Daniel E. Quevedo Federica Garin Carlos Canudas de Wit INRIA Rhone-Alpes NeCS Team School of Electrical Engineering & Computer Science The University of Newcastle Department of Automatic Control GIPSA-Lab CNRS NeCS Team Grenoble

ISBN: (纸本)9781467320658

This paper proposes an event-based scheme to control a networked control system and to manage the radio-modes of its smart sensor node. The smart node is battery driven and is in charge of sensing the system and computing the control law which is sent to the receiver using a wireless channel. To save energy and to limit the amount of communication with the receiver, the smart node combines two techniques: event-based control and radio-mode management. The control law and radio-mode switching policy are derived jointly in a predictive finite receding horizon optimization problem. We derive a Model Predictive controller using Dynamic Programming and we prove the stability of the obtained control law using the Input-to-State Stability framework. The main contribution of this paper is to take into account several low consuming radio-modes, e.g. Idle and Sleep and the energy-transition costs between modes. Most of the existing literature only considers one mode when the radio is not transmitting, i.e., the scheduling problem. As illustrated via simulations, our proposal has the potential of significant energy savings.

关键词： Networked control systems Event-based control Radio-mode management Networked control systems Event-based control law energy saving Predictive controllers dynamic programming Receivers

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Automatika 2012年第2期53卷 103-106页

作者： Martínez-Salamero, Luis Milanovič, Miro Rovira i Virgili University School of Electrical and Computer Engineering Department of Electrical Electronic and Automatic Control Engineering Spain University of Maribor Faculty of Electrical Engineering and Computer Science Institute for Robotics Slovenia

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Synchronization of FitzHugh-Nagumo systems: An adaptive approach

Synchronization of FitzHugh-Nagumo systems: An adaptive appr...

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International Conference on Natural Computation (ICNC)

作者： Wei Wei Min Zuo Zaiwen Liu Jing Wang Department of Automatic Control Computer and Information Engineering School Beijing Technology and Business University Beijing China National Engineering Research Center of Advanced Rolling University of Science and Technology Beijing China

In this article, synchronization of FitzHugh-Nagumo (FHN) neurons is considered. Adaptive controller based on active compensation is adopted to drive the slave neuron to track the master neuron. Sufficient condition for asymptotic stability of the close-loop system is derived. Numerical simulation results are given to confirm the adaptive controller is valid.

关键词： Synchronization Neurons Adaptation models Closed loop systems Analytical models Adaptive systems Numerical simulation

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Incentive-based coordinated charging control of plug-in electric vehicles at the distribution-transformer level

Incentive-based coordinated charging control of plug-in elec...

引用

American control Conference (ACC)

作者： Ralph Hermans Mads Almassalkhi Ian Hiskens Department of Electrical Engineering: Control Systems Eindhovan University of Technology Eindhoven Netherlands Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

Distribution utilities are becoming increasingly aware that their networks may struggle to accommodate large numbers of plug-in electric vehicles (PEVs). In particular, uncoordinated overnight charging is expected to be problematic, as the corresponding aggregated power demand exceeds the capacity of most distribution substation transformers. In this paper, a dynamical model of PEVs served by a single temperature-constrained substation transformer is presented and a centralized scheduling scheme is formulated to coordinate charging of a heterogeneous PEV fleet. We employ the dual-ascent method to derive an iterative, incentive-based and non-centralized implementation of the PEV charging algorithm, which is optimal upon convergence. Then, the distributed open-loop problem is embedded in a predictive control scheme to introduce robustness against disturbances. Simulations of an overnight charging scenario illustrate the effectiveness of the so-obtained incentive-based coordinated PEV control scheme in terms of performance and enforcing the transformer's thermal constraint.

关键词： System-on-a-chip Vehicles Tin Batteries Power transformer insulation Vectors Power demand

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Agent-based cyber control strategy design for resilient control systems: Concepts, architecture and methodologies

Agent-based cyber control strategy design for resilient cont...

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2012 5th International Symposium on Resilient control systems, ISRCS 2012

作者： Rieger, Craig Zhu, Quanyan Başar, Tamer Instrumentation Control and Intelligent Systems Idaho National Laboratory Idaho Falls ID United States Coordinated Science Laboratory Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign 1308. W. Main St. Urbana IL United States

ISBN: (纸本)9781467301633

The implementation of automated regulatory control has been around since the middle of the last century through analog means. It has allowed engineers to operate the plant more consistently by focusing on overall operations and settings instead of individual monitoring of local instruments (inside and outside of a control room). A similar approach is proposed for cyber security, where current border-protection designs have been inherited from information technology developments that lack consideration of the high-reliability, high consequence nature of industrial control systems. Instead of an independent development, however, an integrated approach is taken to develop a holistic understanding of performance. This performance takes shape inside a multi-agent design, which provides a notional context to model highly decentralized and complex industrial process control systems, the nervous system of critical infrastructure. The resulting strategy will provide a framework for researching solutions to security and unrecognized interdependency concerns with industrial control systems. © 2012 IEEE.

关键词： Networked control systems

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Performance evaluation of job scheduling algorithms in P2P distributed systems

Performance evaluation of job scheduling algorithms in P2P d...

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The International Conference on Informatics and systems (INFOS)

作者： Tarek Helmy Elsayed Sallam College of Computer Science and Engineering King Fahd University of Petroleum and Minerals Dhahran 31261 Mail Box 413 Saudi Arabia Faculty of Engineering Department of Computers & Automatic Control Engineering Tanta University Egypt

Peer-to-Peer (P2P) distributed systems have received considerable attention mainly due to their potential for high-performance and high-reliability. Job scheduling in P2P distributed systems is one of the most important issues. In this paper, we have evaluated the performance of four job scheduling algorithms named Random, Round Robin, Number of Connections and Server Load in P2P distributed computing environment. The aim of the performance evaluation is to provide a comprehensive view of what performance can be expected from these algorithms in P2P systems in terms of CPU utilization, task processing, traffic received and traffic sent at different load scenarios. We used OPNET modeler to build the simulation model for FTP application on the P2P distributed systems. The output of the performance comparison illustrates different QoS (Quality of Service) aspects of these basic algorithms under different workloads and traffic settings. The results show that the performance of each algorithm changes according to the operational environment setting. The simulation results show that the Server Load-based scheduling algorithm has the best performance among the four algorithms followed by the Number of Connections-based scheduling algorithm. Simulations also show that the Server Load scheduling policy is not suitable for heavy load situations and the Random algorithm is suitable for some settings, especially in the low load situation.

关键词： Portable document format IEEE Xplore

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A novel hybrid spiral dynamics bacterial chemotaxis algorithm for global optimization with application to controller design

A novel hybrid spiral dynamics bacterial chemotaxis algorith...

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UKACC International Conference on control (control)

作者： A. N. K. Nasir M. O. Tokhi N. M. Abd Ghani M. A. Ahmad Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK The University of Sheffield Sheffield Sheffield GB Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang (UMP) Pekan Pahang Malaysia

ISBN: (纸本)9781467315593

This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller.

关键词： Heuristic algorithms Microorganisms Optimization Spirals Convergence Algorithm design and analysis Manipulators

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Adaptive Switching controllers for systems with Hybrid Communication Protocols

Adaptive Switching Controllers for Systems with Hybrid Commu...

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American control Conference

作者： Harald Voit Anuradha Annaswamy Reinhard Schneider Dip Goswami Samarjit Chakraborty Institute of Automatic Control Engineering Technische Universitat Munchen D-80290 Munich Germany Department of Mechanical Engineering Massachussets Institute of Technology Cambridge MA 02319 USA Institute for Real-Time Computer Systems Technische Universitat Munchen D-80290 Munich Germany

ISBN: (纸本)9781457710957

Cyber-Physical systems (CPS) are ubiquitous, motivated by the need to integrate control, computing, and communication, increasing capabilities and declining costs of the underlying technologies, and increased requirements on safety, reliability, and performance. The focus of this paper is the co-design of hybrid communication protocol and adaptive switching control that enables stabilization of multiple control applications using minimal communication resources. The hybrid protocol chosen is one that switches between time-triggered and event-triggered methods in order to realize their combined advantages. A control algorithm is co-designed along with this hybrid protocol so as to exploit the properties of the individual protocols as well as the switches between them. The controller is chosen to be adaptive in order to cope with any uncertainties that may be present. The resulting adaptive, switching controller is shown to be stable in the presence of a class of disturbances.

关键词： Self tuning controllers Communication protocols Switches communication resources HYBRID Hybrid electric vehicles Co-design computer algorithms protocols switching switching controller

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Simulated mid-ranging control of propofol and remifentanil using EEG-measured hypnotic depth of anesthesia

Simulated mid-ranging control of propofol and remifentanil u...

引用

IEEE Conference on Decision and control

作者： Kristian Soltesz Guy A. Dumont Klaske van Heusden Tore Hägglund J. Mark Ansermino Department of Automatic Control Lund University Lund Sweden Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Department of Anesthesiology Pharmacology and Therapeutics University of British Columbia Vancouver Canada

This paper suggests an extension of an existing, clinically evaluated, closed-loop drug delivery system for hypnotic depth control using propofol. The extension introduces closed-loop administration of the analgesic drug remifentanil, thus forming a multiple input-single output (MISO) control system. Remifentanil acts and is metabolized at a significantly faster time scale than propofol. Direct control of analgesia is hindered by the current absence of a reliable real-time nociception monitor. However, several hypnotic depth monitors respond to nociception. Sudden changes in the measured hypnotic depth are frequently caused by changes in noxious stimulation. The novelty of this work lies in increasing the disturbance rejection bandwidth of the control system for hypnotic depth by directing the high frequency content of its control error to a remifentanil controller. Such a mid-ranging control system was implemented and tuned based on 23 patient models obtained from a previous clinical study and its performance is demonstrated through a simulation study.

关键词： Monitoring Anesthesia Drugs Bandwidth Brain models Actuators

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System identification of the fermentation system of Thermoanaerobacter sp. X514

System identification of the fermentation system of Thermoan...

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IEEE International Conference on systems Biology

作者： Jing Yang Xiaofang Ling Lishan Yao Hualiang Wei Visakan Kadirkamanathan The Key Laboratory of Biofuels Chinese Academy of Sciences P.R.China Department of Automatic Control & Systems Engineering University of Sheffield Sheffield South Yorkshire United Kingdom

Bioethanol production by means of anaerobic thermophilic microorganisms with pentose or hexose as the substrate are of paramount importance in sustainable fuel innovation. Manipulation of microorganisms and the associated experiment conditions by means of various ad-hoc technology is obviously the most straightforward way with the aim of maximizing bioethanol yield. However, methodology by means of mathematical modeling and analysis is often neglected among these routines. In this paper, typical input-output models are applied in the metabolic system analysis of Thermoanaerobacter sp. X514 under sole glucose substrate, sole xylose substrate and mixed glucose and xylose substrates conditions. Orthogonal Least Squares (OLS) approach is used for model parameter estimation. Model selection is proposed in order to testify the generality of the suggested model. System identification results illustrate that various forms of Nonlinear AutoRegressive with eXogenous input models (NARX) are applicable in delineating the system where different substrates (glucose or xylose) are utilized during the experiments. The proposed model structure infers that the yields of various products in X514 are mainly driven by the history information of the substrate consumption change. Moreover, the interaction between the main fermentation products of X514 is indirectly connected through the proposed models.

关键词： Biological system modeling Substrates Mathematical model Computational modeling Autoregressive processes Sugar

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