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International Workshop on Advanced Motion control (AMC)

作者： K. Macek I. Petrovic N. Peric Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation University of Zagreb Croatia

One of the basic issues in the navigation of autonomous mobile robots is the obstacle avoidance task that is commonly achieved using a reactive control paradigm where a local mapping from perceived states to actions is acquired. A control strategy with learning capabilities in an unknown environment can be obtained using reinforcement learning where the learning agent is given only sparse reward information. This credit assignment problem includes both temporal and structural aspects. While the temporal credit assignment problem is solved using core elements of the reinforcement learning agent, solution of the structural credit assignment problem requires an appropriate internal state space representation of the environment. In this paper, a discrete coding of the input space using a neural network structure is presented as opposed to the commonly used continuous internal representation. This enables a faster and more efficient convergence of the reinforcement learning process.

关键词： Learning Mobile robots control engineering computing Automatic control Neural networks Fuzzy logic Path planning Robotics and automation Navigation State-space methods

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A self-Tuning decentralized PI control for multivariable plant

A self-Tuning decentralized PI control for multivariable pla...

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2012 IEEE International Conference on control System, Computing and engineering, ICCSCE 2012

作者： Samsudin, S.I. Rahrnat, M.F. Wahab, Norhaliza Abdul Razali, Mashitah Che Gaya, Muhamad Sani Salim, Sy Najib Sy Department of Industrial Electronics Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Control and Instrumentation Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Malaysia Department of Control Instrumentation and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia

ISBN: (纸本)9781467331432

Tuning of controller is one of the most basic functions in control engineering in obtaining optimal control parameters and hence achieving optimal dynamic responses of the system. The work presents the self-Tuning PI controller that potential to auto-Tune the controller parameters and adapting the changes in controlled process parameter for a MIMO system. The decentralized PI controller with an adaptive interaction algorithm is developed and tested to nonlinear multivariable wastewater treatment plant. It is aims to self-Tune the PI control parameters in regulating the substrate and DO concentrations from a steady state operating point. It was observed that the proposed control structure and the tuning algorithm were successfully tracks the desired set-point with considerable effects in noisy environment. © 2012 IEEE.

关键词： MIMO systems

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Adaptive Prescribed-Time Neural control of Nonlinear Systems via Dynamic Surface Technique

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第10期5卷 4948-4958页

作者： Wang, Ping Yu, Chengpu Lv, Maolong Zhao, Zilong Beijing Institute of Technology School of Automation Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Air Force Engineering University College of Air Traffic Control and Navigation Xi'an710051 China Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Delft2628 CD Netherlands

The adaptive practical prescribed-time (PPT) neural control is studied for multiinput multioutput (MIMO) nonlinear systems with unknown nonlinear functions and unknown input gain matrices. Unlike existing PPT design schemes based on backstepping, this study proposes a novel PPT control framework using the dynamic surface control (DSC) approach. First, a novel nonlinear filter (NLF) with an adaptive parameter estimator and a piecewise function is constructed to effectively compensate for filter errors and facilitate prescribed-time convergence. Based on this, a unified DSC-based adaptive PPT control algorithm, augmented with a neural networks (NNs) approximator, is developed, where NNs are used to approximate unknown nonlinear system functions. This algorithm not only addresses the inherent computational complexity explosion associated with traditional backstepping methods but also reduces the constraints on filter design parameters compared to the DSC algorithm that relies on linear filters. The simulation showcases the effectiveness and superiority of the devised scheme by employing a two-degree-of-freedom robot manipulator. © 2024 IEEE.

关键词： Flexible manipulators

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An anti-slip predictive controller for a V-PRA vehicle

An anti-slip predictive controller for a V-PRA vehicle

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作者： Cochior, Carmen De Keyser, Robin Lazar, Corneliu Electrical Engineering Department Eindhoven University of Technology Eindhoven Netherlands EeSA-Department of Electrical Energy Systems and Automation Ghent University Ghent Belgium Department of Automatic Control and Applied Informatics Faculty of Automatic Control and Computer Engineering Technical University Gh. Asachi Iasi Romania

ISBN: (纸本)9783902661937

In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictive control (MPC) strategy. It uses explicitly a model of the system for the prediction of the future system output, in order to calculate the optimal control input which will bring the system to a required setpoint. The main goals of this predictive controller were setpoint trajectory following, disturbance rejection and maintain overall the stability of the V-PRA vehicle. Although the process is nonlinear, being influenced by several parameters, linear discrete-time ARX models could be obtained based on system linearization around an operating point. An initial SISO controller was developed and tested, based on a Simulink model of the process. The control performances were tested successfully in presence of all kind of disturbances, denoting a robust controller. © 2011 IFAC.

关键词： Vehicles

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Experimental investigations of a direct adaptive neurofuzzy controller

Experimental investigations of a direct adaptive neurofuzzy ...

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IEEE Conference on control Technology and Applications (CCTA)

作者： E.K. Nyarko N. Peric I. Petrovic Department of Automation and Process Control Faculty of Electrical Engineering University of Osijek Osijek Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller

关键词： Programmable control Adaptive control control systems Nonlinear control systems control theory Uncertainty Adaptive systems Robust control Fuzzy neural networks Fuzzy control

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Input reconstruction by means of system inversion: Application to fault detection and isolation 15th

Input reconstruction by means of system inversion: Applicati...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Szigeti, F. Bokor, J. Edelmayer, A. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Department of Control Engineering Faculty of Engineering University of Los Andes Mérida A.P. 11 La Hechicera Venezuela

ISBN: (纸本)9783902661746

This paper attempts to look at the fundamental problem of fault detection and isolation (FDI) in nonlinear systems. Using the idea of input reconstruction by means of dynamic inversion the authors first discuss the properties of input (or fault) observability in linear systems. The extension of the results to nonlinear systems as well as the mathematical conditions of the calculation of the inverse system, which provides the inverse in finite algorithmic steps, are given. The applicability of the inversion process to fault reconstruction in nonlinear systems is demonstrated. Copyright © 2002 IFAC.

关键词： Fault detection

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Modelling and control of Water Supply Systems

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IFAC Proceedings Volumes 1998年第20期31卷 543-548页

作者： Nedjeljko Perić Ivan Petrović Ante Magzan University of Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Končar-Electrical Engineering Institute Zagreb Croatia

A dynamical mathematical model of a water supply plant based on lumped parameters is described. A concept of its control system is proposed that ensures output pressure stabilisation under conditions of variable water consumption and variable water recourses. The control system consists of inner control loops which control the flow of each pump station and of a superimposed control loop that controls the output pressure of the water supply plant. The pressure controller calculates the cumulative reference value of the water flow for all controlled pumps and from this value an algorithm for the flow distribution calculates the reference flow for each inner loop, taking into account the level of water accumulation in each water well. control performances of output pressure obtained by a conventional PI controller and a fuzzy logic based controller are compared.

关键词： Large-scale systems Pressure control Flow control Pipelines Plants Mathematical models Fuzzy control

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Estimating the state of distributed dynamical systems based on limited measurements by means of cooperative filtering with application to ad-hoc vehicle networks

Estimating the state of distributed dynamical systems based ...

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, SAFEPROCESS'09

作者： Edelmayer, A. Miranda, M. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Faculty of Engineering University of Los Andes Merida Venezuela

ISBN: (纸本)9783902661463

In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed filtering concept for enhancing the estimation accuracy of vehicles state from uncertain position data in ad-hoc vehicle networks is presented. The filter relies on a variety of position measurements obtained from the on-board vehicle positioning system, from other nearby cooperating vehicles, as well as from the immediate roadside environment via communication. Direct distance measurements between vehicles as well as between vehicles and the static elements of the roadside infrastructure can be used, if available, as highly accurate reference measurements. The paper demonstrates how successfully the idea of cooperative filtering in addressing the demands of both sensor fault tolerance and enhanced estimation accuracy in distributed systems over ad-hoc communication networks can be used. © 2009 IFAC.

关键词： State estimation

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On the detection of unknown input in positional control problems with noisy measurements

On the detection of unknown input in positional control prob...

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作者： Shinar, Josef Bokor, József Kulcsár, Balázs Israel Institute of Technology Faculty of Aerospace Engineering Haifa 3200 Israel Systems and Control Laboratory Computer Automation Research Institute Hungarian Academy of Sciences P.O.Box 63 Budapest Hungary

ISBN: (纸本)008045108X

The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of improving the homing performance of interceptor missiles against randomly maneuvering targets. The required isolation is possible if, in addition to noisy relative position measurements, noise-free measurement of the line of slight rate or the relative lateral velocity is available. Although with noisy measurement of line of slight rate the isolation of the input is not possible, the detection filter designed for the noise- free case succeeds to provide a satisfactory estimate of target acceleration, which is needed for an improved homing performance. Copyright © 2005 IFAC.

关键词： Bandpass filters

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Recent advances in analysis and control design for switched fuzzy systems: A review

Recent advances in analysis and control design for switched ...

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2012 6th IEEE International Conference Intelligent Systems, IS 2012

作者： Ojleska, Vesna Kolemishevska-Gugulovska, Tatjana Dymirkovsky, Gyorgyi SS Cyril and Methodius University in Skopje Faculty of Electrical Eng. and Information Technologies Institute of Automation and Systems Engineering 1000 Skopje R. Macedonia Faculty of Engineering Depts. of Computer and of Control Engineering Dogus University of Istanbul Acibadem TR-34722 Istanbul R. Turkey

ISBN: (纸本)9781467327824

This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas of switched fuzzy systems, the comparative study is aimed in introducing the diverse approaches in their model construction, as well as the challenges related with the stability analysis and stabilization of such systems. The last includes the issue of stability analysis and finding conditions for existence of switched fuzzy controllers which will stabilize the nonlinear system. © 2012 IEEE.

关键词： Hybrid systems

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