IEEE Transactions on Control Systems Technology
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The RTCSA conference series carry on with the tradition and bring together researchers and developers from academia and industry for advancing the technology of embedded and real- time systems and their emerging applications including the Internet of things and cyber-physical systems.
The Conference scope covers the following topics:- Smart grid technologies,- Smart grid communications and information technologies,- Distributed energy resources and network integration,- Electric vehicle applications and system integration,- Micro-grid applications and islanding operation,- PMUs, smart grid measurement, protection, control & operation,- Physical, cyber and system security for smart grid,- Computation intelligence and IEDs for smart grids,- Sensing, communications and smart metering infrastructure,- Demand side management, smart buildings and home automation,- Diagnostics, self-healing and reliability of smart grids,- Power quality issues and FACTs devices,- Electricity markets, incentives, regulation and pricing,- Smart grid interoperability, standards and codes,- Data analytics
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Autonomic Computing Theory, Models, Architectures and Communications; Cloud Computing with Autonomic and Trusted Environment; Dependable Automatic Control Techniques and Systems; Dependability Models and Evaluation Algorithms; Dependable Sensors, Devices, Embedded Systems; Dependable Electronic-Mechanical Systems, Optic-Electronic Systems; Self-improvement in Dependable Systems; Self-healing, Self-protection and Fault-tolerant Systems; Hardware and Software Reliability, Verification and Testing; Software Engineering for Dependable Systems; Safety-critical Systems in Transportation and Power System; Security Models and Quantifications; Trusted P2P, Web Service, SoA, SaaS, EaaS, and PaaS; DRM, Watermarking Technology, IP Protection; Context-aware Access Control; Virus Detections and Anti-Virus Techniques/Software; Cyber Attack, Crime and Cyber War; Human Interaction with Trusted and Autonomic Computing Systems; Security, Dependability and Autonomic Issues in Ubiquitous Computing;
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
IEEE Transactions on Control Systems Technology, 2006
IEEE Transactions on Control Systems Technology, 2004
An adaptive state estimator for pulverizers consisting of blending, grinding, and classifying processes has been developed in order to improve control of pulverized-coal-fired power stations. Though coal flow and non-Gaussian particle size distributions in the processes are mutually related, the estimator is able to efficiently simulate flow and normalized moments of the distributions with a state vector. The estimator also ...
IEEE Transactions on Control Systems Technology, 1996
The performance and robustness of well-known PID formulas for process with deadtime to time constant ratio between 0.1 and 1 are discussed in this paper. The Ziegler-Nichols, Cohen-Coon, and tuning formulas that optimize for load disturbance response (integral absolute error, integral squared error, and integral time-weighted absolute error) give gain margins of about 1.5. The phase margins increase from about ...
IEEE Transactions on Control Systems Technology, 2011
This paper presents a Markovian jump linear (MJL) system framework for developing routing algorithms in mobile ad hoc networks (MANETs) that encounter changes in the number of nodes and/or the number of destinations. A unified H∞control strategy is proposed by representing the dynamically changing destination nodes as singular switching control systems. A decentralized routing scheme is proposed and designed for ...
IEEE Transactions on Control Systems Technology, 2010
In recent years, it is remarkable to see the increasing number of studies related to the theory and application of fractional order controller (FOC), specially <i>PI</i> <sup>¿</sup> <i>D</i> <sup>¿</sup> controller, in many areas of science and engineering. Research activities are focused on developing new analysis and design methods for fractional order controllers as an extension of classical control theory. In ...
Qing-Chang Zhong, Distinguished Lecturer - PELS
CIRCUIT DESIGN USING FINFETS
Trung Tran: Opening Keynote: WF IoT 2016
Risto Miikkilainen - Multiagent Learning Through Neuroevolution
Development of Quantum Annealing Technology at D-Wave Systems - 2018 IEEE Industry Summit on the Future of Computing
Lillie Coney on the IoT and the Ability to Defend Against the Silent Intruder: 2016 End to End Trust and Security Workshop for the Internet of Things
Robotics History: Narratives and Networks Oral Histories: Ruzena Bajcsy
SIMULATION TECHNIQUES FOR DATA CONVERTER DESIGN
Cyber-Physical ICT for Smart Cities: Emerging Requirements in Control and Communications - Ryogo Kubo
Mary Shaw: Control Theory and Designing Cyber-Physical Systems: WF IoT 2016
Emerging Technologies for the Control of Human Brain Dynamics: IEEE TechEthics Keynote with Danielle Bassett
IEEE Member Digital Library
Q&A - IoT Challenges Industry Forum Panel: WF IoT 2016
Karin Hollerbach: Far Futures Panel - TTM 2018
KeyTalk with Hamish Laird: The Gap Between Large Power Converters and Small Power Converters - APEC 2017
Ignite! Session: Deborah Cooper
VR - The Industry of the Future and Your Role in it
Networked Sensing and Control
Hausi Muller: Models At Runtime and Networked Control for Smart Cyber Physical Systems: WF IoT 2016
An adaptive state estimator for pulverizers consisting of blending, grinding, and classifying processes has been developed in order to improve control of pulverized-coal-fired power stations. Though coal flow and non-Gaussian particle size distributions in the processes are mutually related, the estimator is able to efficiently simulate flow and normalized moments of the distributions with a state vector. The estimator also identifies coal grindability for adapting to variation in coal characteristic in parallel with the process simulation. The accuracy of the adaptive estimation and the effectiveness in improving the load-swinging performance have been validated at a 1000-MWe class power station.
The performance and robustness of well-known PID formulas for process with deadtime to time constant ratio between 0.1 and 1 are discussed in this paper. The Ziegler-Nichols, Cohen-Coon, and tuning formulas that optimize for load disturbance response (integral absolute error, integral squared error, and integral time-weighted absolute error) give gain margins of about 1.5. The phase margins increase from about 30 to 60/spl deg/ as the process deadtime to time constant ratio increases from 0.1 to 1. Tuning formulas that optimize setpoint response give gain margins of about two and phase margins of about 65/spl deg/. These formulas mostly make use of the proportional-integral derivative (PID) controller zeros to cancel the process poles. Approximate analytical formulas to compute gain and phase margins of PID control systems are also derived in this paper to facilitate online computation which would be particularly useful for implementing adaptive control.
This paper presents a Markovian jump linear (MJL) system framework for developing routing algorithms in mobile ad hoc networks (MANETs) that encounter changes in the number of nodes and/or the number of destinations. A unified H∞control strategy is proposed by representing the dynamically changing destination nodes as singular switching control systems. A decentralized routing scheme is proposed and designed for the networked multi- agent system in presence of unknown time-varying delays. To solve the corresponding optimization problem the physical constraints are expressed as linear matrix inequality (LMI) conditions. The resulting decentralized H∞routing control schemes for both regular and singular MJL systems are shown to formally achieve the desired performance specifications and requirements. Simulation results are presented to illustrate and demonstrate the effectiveness of our proposed novel routing control strategies.
In recent years, it is remarkable to see the increasing number of studies related to the theory and application of fractional order controller (FOC), specially <i>PI</i> <sup>¿</sup> <i>D</i> <sup>¿</sup> controller, in many areas of science and engineering. Research activities are focused on developing new analysis and design methods for fractional order controllers as an extension of classical control theory. In this paper, a new tuning method for fractional order proportional and derivative (<i>PD</i> <sup>¿</sup>) or FO-PD controller is proposed for a class of typical second-order plants. The tuned FO-PD controller can ensure that the given gain crossover frequency and phase margin are fulfilled, and furthermore, the phase derivative w. r. t. the frequency is zero, i.e., the phase Bode plot is flat at the given gain crossover frequency. Consequently, the closed-loop system is robust to gain variations. The FOC design method proposed in the paper is practical and simple to apply. Simulation and experimental results show that the closed-loop system can achieve favorable dynamic performance and robustness.
This paper describes a controller design for a hot rolling mill. The main purpose of the algorithm is to improve the control of the cross-width thickness profile of the plates. This is obtained by designing a controller which makes independent thickness control possible at the two sides of the rolling mill. This is achieved by first linearizing the positioning systems using feedback linearization and then using linear quadratic eigenspace design on the linearized multivariable system. Integral control is included to ensure zero stationary thickness error. The design is done using derived dynamical multivariable models. To ensure that the design is stable, the stability of the system is investigated using the small gain theorem. The performance of the controller is evaluated using models estimated from data obtained from the hot plate mill at The Danish Steel Works Ltd.
Presents a globally asymptotically stabilizing (GAS) controller for regulation and dynamic positioning of ships, using only position measurements. It is assumed that these are corrupted with white noise hence a passive observer which reconstructs the rest of the states is applied. The observer produces noise-free estimates of the position, the slowly varying environmental disturbances and the velocity which are used in a proportional-derivative (PD)-type control law. The stability proof is based on a separation principle which holds for the nonlinear ship model. This separation principle is theoretically supported by results on cascaded nonlinear systems and standard Lyapunov theory, and it is validated in practice by experimentation with a model ship scale 1:70.
In this brief, we propose and develop estimation, prediction, and health monitoring methodologies for nonlinear systems by modeling the damage and degradation mechanism dynamics as ``slow'' states that are augmented with the system ``fast'' states. This augmentation results in a two-time scale (TTS) nonlinear system that is utilized for the development of decoupled slow and fast health estimation and prediction modules within a health monitoring framework. Specifically, a TTS filtering approach based on ensemble Kalman filters is developed by taking advantage of the singular perturbation model reduction technique. Our proposed methodology is then applied to a gas turbine engine that is affected by degradation phenomenon due to the turbine erosion. Extensive comparative studies are conducted to validate and demonstrate the advantages and capabilities of our proposed methodology when compared to the well-known nonlinear particle filtering (PF) approach that is commonly utilized in the literature.
Current distributed control methods have a lack of information exchange infrastructure to enable spatially evolving multiagent formations. Specifically, these methods are designed based on information exchange rules represented by a network having a single layer, where they lead to multiagent formations with fixed, nonevolving spatial properties. For situations where capable agents have to control the resulting formation through these methods, they can often do so if such agents have global information exchange ability. Yet, global information exchange is not practical for cases that have large numbers of agents and low-bandwidth peer-to-peer communications. Motivated from this standpoint, the contribution of this paper is to show how information exchange rules, which are represented by a network having multiple layers (multiplex information networks), can be designed for enabling spatially evolving multiagent formations. In particular, we first consider the formation assignment problem and then the formation tracking problem and introduce new distributed control architectures that allow capable agents to spatially alter the size and the orientation of the resulting formation without requiring global information exchange ability. In addition, tools and methods from differential potential fields are further utilized in order to generalize the proposed distribute control architecture for the formation tracking problem to allow for connectivity maintenance and collision avoidance needed in real-world applications. Stability of the proposed architectures is theoretically analyzed and their efficacy is illustrated on numerical examples and on multiagent formation experiments.
Physical connectors and cables, electrical properties, and logical protocols for point to point serial scaleable interconnect, operating at speeds of 10-200 Mbit/sec and at 1 Gbit/sec in copper and optic technologies (as developed in Open Microprocessor systems Initiative/heterogeneous InterConnect Project (OMI/HIC).