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Enhanced Robustness for Pitch Pointing Flight Using Sliding Mode control

IFAC Proceedings Volumes 1991年第1期24卷 369-374页

作者： M.E. Penati G. Bertoni C. Chen Electronics Computer Science and System Theory Dept. University of Bologna Viale Risorgimento 2 40136 Bologna Italy Dept. of Automatic Control Nanjing Aeronautical Institute Nanjing PRC

This paper proposes a methodology of combining eigenstructure assignment, feedforward gain with sliding mode control technique to realize an enhanced robust pitch pointing flight control system. This control system can track step input commands without error and it turns out to be consistently robust against parameter variations and external disturbances. The design methodology is illustrated by application to an AFTI/F-16 aircraft.

关键词： C.C.V. (A.C.T.) V.S.S. Sliding Mode Decoupling Robustness

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Texture discrimination by local morphological multifractal signatures

Texture discrimination by local morphological multifractal s...

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2006 IEEE Region 10 Conference, TENCON 2006

作者： Xia, Yong Zhao, Rongchun Zhang, Yanning Feng, Dagan Sun, Jian School of Computer Northwestern Polytechnical University China Dept. of Electronic and Information Engineerings Hong Kong Polytechnic University Hong Kong School of Information Technologies University of Sydney Australia School of Automatic Control Northwestern Polytechnical University China

ISBN: (纸本)1424405491

Both the fractal dimension (FD). and the multifractal dimensions (MFD) have been widely used to describe natural textures in image processing community. However, due to the essential difference between the fractal reality of digital images and the mathematical fractal model, most FD/MFD estimation algorithms intrinsically produce less accurate results. In this paper, the idea of fractal signature is adopted and extended to the morphological multifractal estimation. As a result, a novel texture descriptor, namely the local morphological multifractal signatures (LMMS), is proposed to characterize the local scaling property of textured images. The LMMS depict the behavior of the morphological MFD over a wide range of spatial scales. The proposed LMMS feature, together with the fractal signature and the morphological MFD, has been applied to the discrimination of Brodatz textures. The comparison results demonstrate that our LMMS feature can differentiate natural textures more effectively. © 2006 IEEE.

关键词： Image processing

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Predicting the Time from Diagnosis to Treatment in Breast Cancer

Predicting the Time from Diagnosis to Treatment in Breast Ca...

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E-Health and Bioengineering Conference (EHB)

作者： Sergiu Ceică Ştefan-Daniel Achirei Dept. of Computer Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Recent advancements in machine learning (ML) have significantly impacted the medical field, particularly in diagnosing and treating breast cancer. This study models the time from diagnosis to treatment for breast cancer patients, focusing on delay factors and ML-based solutions. The goal is to develop precise ML models that predict treatment delays, thereby improving the quality and efficiency of medical services. We investigated socio-economic disparities affecting treatment access and developed models to predict these delays. The predictive models used include K-Nearest Neighbors, Decision Trees, Linear Regression, and Boosting Algorithms such as AdaBoost and Gradient Boosting Regressor. By accurately predicting the interval from diagnosis to the first treatment, our work aims to promote equity in healthcare, ensuring timely treatment for all patients. Our findings highlight the potential of ML in optimizing treatment timelines and resource allocation, contributing to improved patient outcomes and advancing the medical system.

关键词： Medical services Predictive models Boosting Prediction algorithms Breast cancer Delays Resource management Socioeconomics Medical diagnostic imaging Regression tree analysis

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Tuning the Feedback controller Gains is a Simple Way to Improve Autonomous Driving Performance

Tuning the Feedback Controller Gains is a Simple Way to Impr...

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UKACC International Conference on control (control)

作者： Wenyu Liang Pablo R. Baldivieso Ross Drummond Donghwan Shin Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. of Computer Science University of Sheffield Sheffield UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progress has been made in recent years on the neural network side of these systems, only limited progress has been made on the feedback controller side. Often, the feedback control gains are simply passed from paper to paper with little re-tuning taking place, even though the changes to the neural networks can alter the vehicle's closed loop dynamics. The aim of this paper is to highlight the limitations of this approach; it is shown that re-tuning the feedback controller can be a simple way to improve autonomous driving performance. To demonstrate this, the PID gains of the longitudinal controller in the TCP autonomous vehicle algorithm are tuned. This causes the driving score in CARLA to increase from 73.21 to 77.38, with the results averaged over 16 driving scenarios. Moreover, it was observed that the performance benefits were most apparent during challenging driving scenarios, such as during rain or night time, as the tuned controller led to a more assertive driving style. These results demonstrate the value of developing both the neural network and feedback control policies of autonomous driving systems simultaneously, as this can be a simple and methodical way to improve autonomous driving system performance and robustness.

关键词： Machine learning algorithms Neural networks control systems Robustness Feedback control control theory Adaptive control

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Optimum pairing and ordering conditions for simultaneous reduction in total capacitance, sensitivity and output noise of cascade SC filters

Optimum pairing and ordering conditions for simultaneous red...

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1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

作者： Zhiqiang, M.A. Nakayama, Kenji Yamamoto, Gaishi Department of Electrical and Computer Engineering Faculty of Technology Kanazawa University Kanazawa920 Japan Faculty of Engineering Kanazawa Institute of Technology Ishikawa921 Japan Dept. of Automatic Control Engineering Central-South University of Technology Changsha China

ISBN: (纸本)0780305930

This paper presents optimum pairing and ordering (P/O) conditions for simultaneous reduction in total capacitance, sensitivity and output noise of cascade SC filters. First, investigating relations among conditions proposed for minimizing these three parameters independently, termed, CTmin, Smin and Nmin conditions, we make it clear that there is no P/O assignment with which the three parameters can be simultaneously minimized. Then we verify that Nmin condition is valid in reducing two other parameters. Trade-off optimum conditions are proposed by combining Nmin with Smin and CTmin. These conditions can limit the number of P/O assignments, in which an optimum P/O assignment for simultaneous reduction of three parameters can be searched out easily. Depending upon applications, the trade-off optimum condition can be slightly modified by adjusting the proportion of CTmin Smin and Nmin. Efficiency of the proposed trade-off optimum conditions is confirmed through computer simulation using several kinds of filters. © 1992 IEEE.

关键词： Capacitance

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control of greenhouse with parabolic trough collectors

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer Science 2016年第3期78卷 75-84页

作者： Grigoriu, Ramona-Oana Voda, Alina Arghira, Nicoleta Calofir, Vasile Iliescu, Sergiu Stelian Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Romania Dept. of Control Systems GIPSA-Lab University Joseph Fourier Grenoble 1 France

Resource management in nowadays agriculture imposes the use of new technological solutions for automation and energy efficiency and this paper concentrates on the control of internal temperature of a greenhouse using parabolic trough collectors (GHPTC) for internal heating. The actuator for the GHPTC control system is the conducting fluid pump that enables the liquid flow into the collector pipes. Both the nonlinear and linear models are presented in the paper in order to tune a classical controller. A comparison of controller performances (stationary and transient) was conducted by simulation, using Matlab/Simulink software. Also, the gradient descent method was applied for an optimal tuning of the temperature controller, imposing minimum overshoot.

关键词： Greenhouses

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A nonlinear model predictive control scheme with multirate integral sliding mode

A nonlinear model predictive control scheme with multirate i...

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作者： Rubagotti, Matteo Raimondo, Davide M. Jones, Colin N. Magni, Lalo Ferrara, Antonella Morari, Manfred Dept. of Mechanical and Structural Engineering University of Trento Via Mesiano 77 38123 Trento Italy Automatic Control Laboratory ETH Zürich Physikstrasse 3 8092 Zürich Switzerland Dept. of Computer Engineering and Systems Science University of Pavia Via Ferrata 1 27100 Pavia Italy

ISBN: (纸本)9783902661807

In this paper, a hierarchical multirate control scheme for nonlinear discrete-time systems is proposed, composed of a robust model predictive controller (MPC) and a multirate integral sliding mode (MISM) controller. In particular, the MISM controller acts at a faster sampling time than the MPC controller, and reduces the effect of model uncertainties and external disturbances, in order to obtain, at the next sampling instant of the MPC controller, a value of the system state that is as close as possible to the nominal one. To obtain this result, the control variable is composed of two parts: one generated by the MPC controller, and the other by the MISM controller. The a-priori reduction of the disturbance terms turns out to be very useful in order to improve the convergence properties of the MPC controller. © 2010 IFAC.

关键词： controllers

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Sound Noise Monitoring using Wireless Sensor Networks in Annaba City 11

Sound Noise Monitoring using Wireless Sensor Networks in Ann...

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11th International Conference on Information Technology, ICIT 2023

作者： Fezari, Mohamed Dahoud, Ali Al Arif, Mohamed Al-Dahoud, Ahmad Al-Mimi, Hani M. Badji Mokhtar Annaba University Laboratory of Automatic and Signals Annaba Faculty of Engineering Annaba Algeria Al-Zaytoonah University of Jordan Faculty of IT Dept. of Computer Scinece Amman Jordan Al-Zaytoonah University of Jordan Faculty of Architecture and Design Amman Jordan

ISBN: (纸本)9798350320060

The aim of this work is to design a sound logger system for environmental monitoring using wireless sensors network WSN. The proposed solution is to place nodes in a fixed location in the city center of Annaba. These devices collect noise levels, process the information then transmit a code containing node position, sound level, and other data concerning the environment. A central unit will process the collected information from different nodes again then a GUI program will represent the data on a map concerning the selected area of Annaba city. The improvement is done on the choice of quality/price sensors;on designing an easy-to-understand and monitor GUI. © 2023 IEEE.

关键词： Microcontrollers

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NEW TOOL FOR SYSTEM IDENTIFICATION AND PREDICTIVE control BASED ON NEURAL NETWORKS USING LABVIEW SOFTWARE

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer Science 2022年第2期84卷 91-110页

作者： Alshareefi, Hamid Lupu, Ciprian Alboudkhal, Hayder Ismail, Laith Dept. of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Ministry of Electricity Iraq Dept. of Computer Technology Engineering AL-TURATH University College Baghdad Iraq

In this paper, a new tool for system identification and model predictive control (MPC) has been developed. The mathematical approximation of the model identification was derived using the neural network theory. The emphasis of this paper is to employ a multi-layer recurrent neural network with three layers to match an autoregressive-moving average (ARMA) model in the identification stage to provide the mathematical model for the model predictive controller in the control stage. The tool was designed using LabVIEW software and the MathScript facility. The tool can be used to identify and control simulated or real systems using the stored input/output data of the system. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Recurrent neural networks

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On the Computation of the Maximal Corank of a Covariance Matrix Under the Frisch Scheme

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IFAC Proceedings Volumes 1994年第8期27卷 1133-1135页

作者： R.P. Guidorzi A. Stoian University of Bologna Dept. of Electronics Systems and Computer Science Bologna Italy Polytechnic Institute of Bucharest Department of Automatic Control Bucharest Romania

A simple algorithm for establishing the presence of points common to some singularity (hyper)surfaces associated to covariance matrices is developed. It allows, on the basis of the new algebraic and geometric properties recently given by Guidorzi (1994), the computation of the maximal number of linear relations that can be associated to a given set of data.

关键词： Linear algebra Frisch scheme system identification parameter estimation linear systems

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