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7th IEEE Chinese Guidance, Navigation and control Conference, CGNCC 2016

作者： Chen, Xuan Chen, Jinxiang College of Electric Power Engineering Inner Mongolian Polytechnical University Huhehaote Inner Mongolian Region010080 China State Key Laboratory of Hybrid Process Industry Automation Systems and Equipment Technology Automation Research and Design Institute of Metallurgical Industry China Iron and Steel Research Institute Group 100081 China

ISBN: (纸本)9781467383189

State feedback H∞ control problem for switched linear singularly perturbed systems (SLSPSs) is investigated in this paper. A switched linear singularly perturbed model is constructed to describe uncertain singularly perturbed systems. State feedback H∞ controller gains are obtained by solving a set of linear matrix inequalities (LMIs). A numerical example is presented to illustrate the effectiveness of the proposed approach. © 2016 IEEE.

关键词： State feedback

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Model based control strategies for a class of nonlinear mechanical sub-systems

Model based control strategies for a class of nonlinear mech...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： Clara M. Ionescu Robin De Keyser Department of Electrical energy Systems and Automation Research group on Dynamical Systems and Control Ghent Belgium

This paper presents a comparison between various control strategies for a class of mechanical actuators common in heavy-duty industry. Typical actuator components are hydraulic or pneumatic elements with static non-linearities, which are commonly referred to as Hammerstein systems. Such static non-linearities may vary in time as a function of the load and hence classical inverse-model based control strategies may deliver sub-optimal performance. This paper investigates the ability of advanced model based control strategies to satisfy a tolerance interval for position error values, overshoot and settling time specifications. Due to the presence of static non-linearity requiring changing direction of movement, control effort is also evaluated in terms of zero crossing frequency (up-down or left-right movement). Simulation and experimental data from a lab setup suggest that sliding mode control is able to improve global performance parameters.

关键词： Actuators Valves Delays Sensors Adaptation models Mathematical model

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Nonintrusive Appliance Load Monitoring for Smart Homes: Recent Advances and Future Issues

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IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE 2016年第3期19卷 56-62页

作者： Yu, Liu Li, Haibin Feng, Xiaowei Duan, Jizhong Technical University of Cluj Napoca Cluj-Napoca Romania Department of Electrical energy Systems and Automation Research group on Dynamical Systems and Control Ghent Belgium Department of ECE St. Joseph's College of Engineering Chennai India Department of ECE Anna University Chennai India “Gheorghe Asachi” Technical University of Iasi Romania School of Electronics Engineering VIT University Chennai India

In recent years, as Cloud Computing and Internet of Things (IoT) technologies develop rapidly, smart home technology has entered a new stage: smart electric power usage, which will break the traditional extensive management situation for electric power loads, particularly under the background of an energy crisis. People will gradually gravitate towards the demands for more energy-related and intelligent services in smart home systems such as energy saving, improved understanding of electrical consumption and electrical safety of appliances. When the power consumption is considered by a smart grid, detailed electrical information of power loads will be perceived for demand management and optimization. To address these issues, measuring and monitoring the power of residential individual appliances are highly demanded by many applications.

关键词： Smart homes load monitoring

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Modelling and identification of a coupled sextuple water tank system

Modelling and identification of a coupled sextuple water tan...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： Anca Maxim Clara Ionescu Robin De Keyser Gheorghe Asachi' Technical University of Iasi Iasi Romania Department of Electrical energy Systems and Automation Research group on Dynamical Systems and Control Ghent

This paper presents the modelling and identification procedure applied to a coupled, non-minimum phase system consisting of six water tanks. This process is composed of three inter-connected sub-systems coupled through the inputs. Using the process description, the theoretical nonlinear model was derived and linearised around a chosen operating point. After that, a three part experiment was conducted on the sextuple plant from Quanser in which one of the system's inputs was varied while the others remained constant. The experimental data was used to compute the system's static characteristic which describes the output variation limits for different input values. Then, the dynamic characteristic was used to analyse the system evolution in transient time to provide insight knowledge about the model orders required in the parametric identification. The results obtained clearly show that the computed linear model proper characterizes the dynamics of the real process and can be further used in simulations.

关键词： Storage tanks Computational modeling Pumps Water control systems Predictive control Prediction algorithms

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Fractional order modeling of diffusion processes: A new approach for glucose concentration estimation

Fractional order modeling of diffusion processes: A new appr...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： Dana Copot Cristina Muresan Robin De Keyser Clara Ionescu Department of Electrical energy Systems and Automation Research group on Dynamical Systems and Control Ghent Belgium Technical University of Cluj Napoca Cluj-Napoca Romania

This paper presents the application of fractional calculus tools, i.e. fractional order impedance and Cole-Cole elements to detect, measure and estimate glucose concentrations by means of electrochemistry. Fractional calculus can provide a concise model for the description of the dynamic events that occur in biological tissues. The concepts of fractional calculus has been successfully applied in physics, chemistry and material science, electrodes and viscolelastic materials over extended ranges of time and frequency. In this paper, the fractional order impedance model is presented and compared with the measured impedance. The model parameters are related to various physical conditions of the test-cells and a baseline measurements along with blind evaluation are presented. The results indicate that the proposed model is valid in a limited range of frequencies and generalization for higher order models is possible.

关键词： Impedance Sugar Fractional calculus Impedance measurement Biological system modeling Frequency-domain analysis

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Author Correction: A consensus protocol for functional connectivity analysis in the rat brain

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Nature neuroscience 2023年 2023 Apr 18页

作者： Joanes Grandjean Gabriel Desrosiers-Gregoire Cynthia Anckaerts Diego Angeles-Valdez Fadi Ayad David A Barrière Ines Blockx Aleksandra Bortel Margaret Broadwater Beatriz M Cardoso Marina Célestine Jorge E Chavez-Negrete Sangcheon Choi Emma Christiaen Perrin Clavijo Luis Colon-Perez Samuel Cramer Tolomeo Daniele Elaine Dempsey Yujian Diao Arno Doelemeyer David Dopfel Lenka Dvořáková Claudia Falfán-Melgoza Francisca F Fernandes Caitlin F Fowler Antonio Fuentes-Ibañez Clément M Garin Eveline Gelderman Carla E M Golden Chao C G Guo Marloes J A G Henckens Lauren A Hennessy Peter Herman Nita Hofwijks Corey Horien Tudor M Ionescu Jolyon Jones Johannes Kaesser Eugene Kim Henriette Lambers Alberto Lazari Sung-Ho Lee Amanda Lillywhite Yikang Liu Yanyan Y Liu Alejandra López-Castro Xavier López-Gil Zilu Ma Eilidh MacNicol Dan Madularu Francesca Mandino Sabina Marciano Matthew J McAuslan Patrick McCunn Alison McIntosh Xianzong Meng Lisa Meyer-Baese Stephan Missault Federico Moro Daphne M P Naessens Laura J Nava-Gomez Hiroi Nonaka Juan J Ortiz Jaakko Paasonen Lore M Peeters Mickaël Pereira Pablo D Perez Marjory Pompilus Malcolm Prior Rustam Rakhmatullin Henning M Reimann Jonathan Reinwald Rodrigo Triana Del Rio Alejandro Rivera-Olvera Daniel Ruiz-Pérez Gabriele Russo Tobias J Rutten Rie Ryoke Markus Sack Piergiorgio Salvan Basavaraju G Sanganahalli Aileen Schroeter Bhedita J Seewoo Erwan Selingue Aline Seuwen Bowen Shi Nikoloz Sirmpilatze Joanna A B Smith Corrie Smith Filip Sobczak Petteri J Stenroos Milou Straathof Sandra Strobelt Akira Sumiyoshi Kengo Takahashi Maria E Torres-García Raul Tudela Monica van den Berg Kajo van der Marel Aran T B van Hout Roberta Vertullo Benjamin Vidal Roël M Vrooman Victora X Wang Isabel Wank David J G Watson Ting Yin Yongzhi Zhang Stefan Zurbruegg Sophie Achard Sarael Alcauter Dorothee P Auer Emmanuel L Barbier Jürgen Baudewig Christian F Beckmann Nicolau Beckmann Guillaume J P C Becq Erwin L A Blezer Radu Bolbos Susann Boretius Sandrine Bouvard Eike Budinger Joseph D Buxbaum Diana Cash Victor Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada. Integrated Program in Neuroscience McGill University Montreal QC Canada. Bio-imaging Lab University of Antwerp Antwerp Belgium. µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium. Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico. Biological and Biomedical Engineering McGill University Montreal QC Canada. McConnell Brain Imaging Centre McGill University Montreal QC Canada. Montreal Neurological Institute McGill University Montreal QC Canada. UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France. Department of Neurology and Neurosurgery McGill University Montreal QC Canada. Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA. Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA. Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal. Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France. Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México. Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cyberneti

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Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design

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Science China(Technological Sciences) 2015年第11期58卷 1915-1923页

作者： QIU HuaXin DUAN HaiBin Bio-inspired Autonomous Flight Systems(BAFS) Research Group Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University

Pigeon-inspired optimization(PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspired optimization(MPIO) is proposed in this paper. It is also adopted to solve the multi-objective optimization problems in designing the parameters of brushless direct current motors, which has two objective variables, five design variables, and five constraint variables. Furthermore, comparative experimental results with the modified non-dominated sorting genetic algorithm are given to show the feasibility, validity and superiority of our proposed MIPO algorithm.

关键词： brushless direct current （BLDC） motor multi-objective pigeon-inspired optimization （MPIO） electromagnetics mul-ti-objective optimization

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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

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IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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State Feedback H∞ control of Switched Linear Singularly Perturbed systems

State Feedback H∞ Control of Switched Linear Singularly Per...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Xuan Chen Jinxiang Chen College of Electric Power Engineering Inner Mongolian Polytechnical University State Key Laboratory of Hybrid Process Industry Automation Systems and Equipment Technology Automation Research and Design Institute of Metallurgical IndustryChina Iron & Steel Research Institute Group

ISBN: (纸本)9781467383196

State feedback H control problem for switched linear singularly perturbed systems（SLSPSs） is investigated in this paper.A switched linear singularly perturbed model is constructed to describe uncertain singularly perturbed *** feedback H controller gains are obtained by solving a set of linear matrix inequalities（LMIs）.A numerical example is presented to illustrate the effectiveness of the proposed approach.

关键词： State Feedback H control of Switched Linear Singularly Perturbed systems

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