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International Conference on Signal Processing and Communication systems, ICSPCS

作者： Anna Lalik Krzysztof Puszyński Roman Jaksik Systems Engineering Group Faculty of Automatic Control Electronics and Automatic Control Electronics and Automatic Control Electronics and Informatics Informatics Informatics Silesian University of Technology Gliwice Poland

ISBN: (数字)9781728121949

ISBN: (纸本)9781728121956

Biological experiments which aim to study changes in the gene expression profile currently allow to detect only significant variations in RNA levels due to high variance of the signal in both biological and technical replicates. The variance of the signal has its source in the experimental procedure and in the laboratory in which the measurement was performed. Understanding factors that influence measured levels of gene expression, using individual platforms, will allow the development of bioinformatics tools correcting the impact of experimental methodology. In this study, we analyze the influence of selected factors (poly(A) and spacer-T motifs; GC content, transcript length) on the precision of gene expression measurements by RT-qPCR, oligonucleotide microarrays and RNA sequencing.

关键词： RNA Gene expression Probes Sequential analysis Real-time systems Informatics

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Mathematical relationships between representations of structure in linear interconnected dynamical systems

Mathematical relationships between representations of struct...

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作者： Yeung, E. Gonçalves, J. Sandberg, H. Warnick, S. Control and Dynamical Systems California Institute of Technology United States Information and Decision Algorithms Laboratories Brigham Young University Provo UT United States Control Group Department of Engineering University of Cambridge Cambridge United Kingdom Automatic Control Laboratory KTH School of Electrical Engineering Stockholm Sweden

ISBN: (纸本)9781457700804

A dynamical system can exhibit structure on multiple levels. Different system representations can capture different elements of a dynamical system's structure. We consider LTI input-output dynamical systems and present four representations of structure: complete computational structure, subsystem structure, signal structure, and input output sparsity structure. We then explore some of the mathematical relationships that relate these different representations of structure. In particular, we show that signal and subsystem structure are fundamentally different ways of representing system structure. A signal structure does not always specify a unique subsystem structure nor does subsystem structure always specify a unique signal structure. We illustrate these concepts with a numerical example. © 2011 AACC American automatic control Council.

关键词： Dynamical systems

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Analytical H design for a smith-type inverse-response compensator

Analytical H design for a smith-type inverse-response compen...

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2009 American control Conference, ACC 2009

作者： Alcántara, S. Pedret, C. Vilanova, R. Zhang, W.D. Systems Engineering and Automatic Control Group ETSE Universitat Autònoma de Barcelona 08193 Bellaterra Spain Department of Automation Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9781424445240

In this paper a control configuration for inverseresponse processes is presented. It results in a Smith-type predictor scheme that aims to put the non-minimum phase dynamics out of the feedback loop. The design is carried out analytically by solving an H weighted optimization problem assuming a second order stable process with one positive zero. The performance of the proposed control configuration is compared by simulation with two different approaches to show its applicability. © 2009 AACC.

关键词： Inverse problems

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Self-organising fuzzy modeling for nonlinear system control

Self-organising fuzzy modeling for nonlinear system control

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IEEE International Symposium on Intelligent control (ISIC)

作者： D.A. Linkens J.S. Shieh Intelligent Simulation and Control Group Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

The authors propose an algorithm for self-organizing fuzzy modeling (SOFM) which models the system by learning rules from input and output data, even though the rule set is empty at the beginning. The concept of tuning the cut value and gain introduced to SOFM helps to model the system more accurately and quickly. The cut value, like a filter, can be used to prune unimportant data and decide suitable rules from data possibilities. The gain, like a scaling factor, can adjust membership functions to determine the fuzzy model sensitivity. Simulation of a nonlinear system has shown the fuzzy model obtained in this way to be satisfactory. Pseudorandom binary sequence and Gaussian random noise signals have been added to the system to validate the modeling robustness. Using these results, the design of a hierarchical self-organizing fuzzy logic control structure which will include modeling, control and fault detection, is being investigated.< >

关键词： Fuzzy control Fuzzy systems Nonlinear systems control system synthesis Nonlinear control systems Fuzzy sets Filters Binary sequences Gaussian noise Noise robustness

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Robust Sliding Mode control of a Quadrotor With Disturbance Rejection for Enhanced Stability and Performance 6

Robust Sliding Mode Control of a Quadrotor With Disturbance ...

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6th International Conference on Robotics and Automation in Industry, ICRAI 2024

作者： Ullah, Hameed Zarin, Owais Ahmad, Irfan Ahmad, Sarfraz Abbas, Ansar Lippiello, Vincenzo University of Naples Federico II Department of Electrical Engineering and Information Technology Naples Italy Riphah International University Department of Electrical Engineering Islamabad Pakistan School of Bilbao - EIB/BIE University of the Basque Country - UPV/EHU Automatic Control Group ACG Department of Automatic Control and Systems Engineering Rafael Moreno 3 Bilbao48013 Spain CEME Department of Electrical Engineering Islamabad Pakistan

ISBN: (纸本)9798350355703

This research presents a comprehensive analysis of quadrotor stabilization and trajectory tracking control using Proportional-Integral-Derivative (PID) and Sliding Mode control (SMC) with integrated disturbance rejection. The nonlinear dynamics of the quadrotor are formulated using the Newton-Euler approach, accounting for six degrees of freedom. The PID controller is implemented as a baseline, while the SMC is designed for enhanced robustness to model uncertainties and external perturbations, with a disturbance observer for managing time-varying disturbances. A rigorous Lyapunov stability proof ensures global asymptotic stability of the SMC-controlled system. Extensive simulations evaluate both controllers in terms of tracking accuracy, control effort, and robustness to external disturbances. Results show that SMC outperforms PID in dis-turbance rejection, tracking accuracy, and robustness, making it ideal for UAV applications in complex environments. © 2024 IEEE.

关键词： Sliding mode control

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A new technique for tracking the features of a spatially distributed field for automatic guidance

A new technique for tracking the features of a spatially dis...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Edwards Iqbal Industrial Control Research Group Automatic Control and Systems Engineering Department University of Sheffield Sheffield UK

This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.< >

关键词： Tracking White noise Polynomials Mobile robot motion planning Observers

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2-DOF control Configuration Applied to 1992 ACC Benchmark Problem

2-DOF Control Configuration Applied to 1992 ACC Benchmark Pr...

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Proceedings of the Biannual World Automation Congress

作者： C. Pedret R. Vilanova I. Serra R. Moreno Systems Engineering and Automatic Control Group Universitat Authnòma de Barcelona Spain

The 2-DOF Observer-controller configuration is based on a right coprime factorization of the plant and makes use of an observer-based feedback control scheme combined with a prefilter controller. A two-step design procedure is accomplished: first, we can design to guarantee stability robustness and some levels of performance in terms of disturbance rejection; second, we can design the prefilter controller to guarantee open-loop processing of the reference commands. The first step is carried out by solving a constrained H infin optimization problem using the right coprime factorization of the plant in an active way. The second step is done by assuming a Reference Model and by solving a Model Matching Problem. The design procedure is exemplified by means of the 1992 ACC Benchmark Problem.

关键词： control systems Open loop systems Robust stability Robust control automatic control Feedback control Force control Constraint optimization Automation systems engineering and theory

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Embedding objects into Matlab/Simulink for process supervision

Embedding objects into Matlab/Simulink for process supervisi...

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IEEE International Symposium on Computer Aided control System Design (CACSD)

作者： J. Melendez J. Colomer J.L. de la Rosa J. Aguilar-Martin J. Vehi Systems Engineering and Automatic Control Group EIA department University of Girona Catalonia Spain

This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. The idea is to take advantage of an existing CACSD framework, Matlab/Simulink, so that engineers can proceed: first to design a control system, and then to design a straightforward supervisory system of the control system in the same framework. Thus, expert systems and qualitative reasoning tools are incorporated into this popular CACSD framework to develop a computer aided supervisory system design (CASSD) framework. Object-variables an introduced into Matlab/Simulink for sharing information between tools.

关键词： MATLAB control systems Object oriented modeling Expert systems Mathematical model automatic control systems engineering and theory Libraries Artificial intelligence Design engineering

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Evolutionary Optimisation for Robot Motion

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IFAC Proceedings Volumes 1997年第3期30卷 179-184页

作者： A.S. Rana A.M.S. Zalzala Robotics Research Group Department of Automatic Control and Systems Engineering University of Sheffield Sheffield SI 3JD UK

This paper presents a detailed analysis of a motion planner based on genetic algorithms for collision free motion planning of robotic manipulators through simulation. The problem is formulated for a 2-DOF planar manipulator moving in the presence of a static circular obstacle in its operational space. The algorithm is then extended to 3-DOF planar manipulator moving among multiple static obstacles.

关键词： Genetic algorithms robotic manipulators optimised collision free motion planning

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Online fault diagnosis for nonlinear power systems

Online fault diagnosis for nonlinear power systems

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作者： Pan, Wei Yuan, Ye Sandberg, Henrik Gonçalves, Jorge Stan, Guy-Bart Centre for Synthetic Biology and Innovation Department of Bioengineering Imperial College London United Kingdom Control Group Department of Engineering University of Cambridge United Kingdom Department of Automatic Control School of Electrical Engineering KTH Royal Institute of Technology Sweden Luxembourg Centre for Systems Biomedicine Luxembourg

This paper considers the problem of automatic fault diagnosis for transmission lines in large scale power networks. Since faults in transmission lines threatens stability of the entire power network, fast and reliable fault diagnosis is an important problem in transmission line protection. This work is the first paper exploiting sparse signal recovery for the fault-diagnosis problem in power networks with nonlinear swing-type dynamics. It presents a novel and scalable technique to detect, isolate and identify transmission faults using a relatively small number of observations by exploiting the sparse nature of the faults. Buses in power networks are typically described by second-order nonlinear swing equations. Based on this description, the problem of fault diagnosis for transmission lines is formulated as a compressive sensing or sparse signal recovery problem, which is then solved using a sparse Bayesian formulation. An iterative reweighted 1-minimisation algorithm based on the sparse Bayesian learning update is then derived to solve the fault diagnosis problem efficiently. With the proposed framework, a real-time fault monitoring scheme can be built using only measurements of phase angles at the buses.

关键词： Electric lines

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