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Nature-inspired optimization algorithms applied to fuzzy control, fuzzy modeling, mobile robots and optical character recognition

Nature-inspired optimization algorithms applied to fuzzy con...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Radu-Emil Precup Universitatea Politehnica din Timisoara Timisoara RO

Summary form only given. The plenary talk deals with the presentation of several applications of nature-inspired optimization algorithms (NIOAs) obtained by the Process control group of the Department of automation and Applied Informatics with the Politehnica University of Timisoara, Romania. The algorithms include Simulated Annealing (SA), Particle Swarm Optimization (PSO), Gravitational Search Algorithms (GSAs), Charged System Search (CSS), hybrid and adaptive versions. Aspects concerning the design and tuning of Mamdani and Takagi-Sugeno fuzzy controllers with dynamics focused on proportional-integral fuzzy controllers (PI FCs) and the general formulation of Takagi-Sugeno fuzzy models are first discussed. The optimal tuning of fuzzy controllers is carried out by the definition of optimization problems with the tuning parameters of the fuzzy controllers defined as vector variables, and with objective functions expressed as the weighted sums of functions that depend on the (absolute or squared) control error and of the output sensitivity functions of the state sensitivity models with respect to process parametric variations. The NIOAs minimize the objective functions to achieve optimal fuzzy control systems with reduced parametric sensitivity, and optimal PI-FCs for nonlinear servo systems are offered. The NIOAs are next applied to the optimal tuning of the parameters of Takagi-Sugeno fuzzy models for Anti-lock Braking Systems and for magnetic levitation systems. Initial Takagi-Sugeno fuzzy models of the process are derived on the basis of the modal equivalence principle by placing a set of linearized process models at several operating points in the rule consequents. The vector variables in the optimization problems are a part of the parameters of the input membership functions. The NIOAs are inserted in optimal path planning algorithms for mobile. The multi-objective optimization is considered as the NIOAs use two to four objective functions to generate optimal t

关键词： Optimization Algorithm design and analysis Optical character recognition software Tuning Linear programming Informatics Takagi-Sugeno model

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Deducing human emotions by robots: Computing basic non-verbal expressions of performed actions during a work task

Deducing human emotions by robots: Computing basic non-verba...

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ieee International symposium on Intelligent control (ISIC)

作者： Martina Truschzinski Helge Ü. Dinkelbach Nicholas Müller Peter Ohler Fred Hamker Peter Protzel Chair of Automation Technology Technische Universität Chemnitz Chemnitz Germany Professorship of Artificial Intelligence Technische Universität Chemnitz Chemnitz Germany Institute of Media Research Technische Universität Chemnitz Chemnitz Germany Technische Universitat Chemnitz Chemnitz Sachsen DE

We have established an emotional model to enhance a virtual worker simulation, which could be also used to support robots in a joined human-robot work-task inside an industrial setting. The robot is able to understand people's individual and specific knowledge as well as capabilities, which are ultimately linked to an emotional consequence. As a result, the emotional model outputs the emotional valence calculated as positive or negative values, respective to reward and punishment. This output is applied as value function for a reinforcement learning agent. There we use an actor critic algorithm extended by eligibility traces and task specific conditions to learn the optimal action sequences. We show the influence of emotional reward leads to differences in the learned action sequences in comparison to a simple task performance evaluation reward. Therefore the robot is able to calculate emotional feelings of a human during a given working task, is able to decide if there is a better, more emotional stable path to doing this working task and moreover the robot is able to decide when the human is needed help or even not.

关键词： computational modeling Robots Sensitivity Learning (artificial intelligence) Ergonomics Physiology Standards

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Communication Protocols in Substation automation and IEC 61850 based proposal

Communication Protocols in Substation Automation and IEC 618...

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14th ieee International symposium on computational intelligence and Informatics (CINTI)

作者： Horalek, J. Matyska, J. Sobeslav, V. Univ Hradec Kralove Dept Informat Technol Hradec Kralove Czech Republic

ISBN: (纸本)9781479901944;9781479901975

The automation of control systems of substations in the energy industry uses a variety of specialized standards, technologies and protocols. Among the most frequently used belong MODBUS, IEC60870, DNP3 and IEC61850 protocols. The present paper analyses and compares approaches to data communication among the above mentioned protocols with the main focus on modern standard IEC61850. The paper was created on the basis of experience while implementing data communications for CEPS a.s., the national distributor in the Czech Republic.

关键词： IEC standards power system control substation automation IP networks ethernet networks network topology

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[Front matter]

[Front matter]

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ieee symposium on computational intelligence in control and automation, cica

Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.

关键词： automation Fuzzy control control systems Publishing computational modeling Committees

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Modelling of a 4WS4WD vehicle and its control for path tracking

Modelling of a 4WS4WD vehicle and its control for path track...

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ieee symposium on computational intelligence in control and automation, cica

作者： Michael R. Woods Jay Katupitiya School of Mechanical and Manufacturing Engineering University of New South Wales Sydney NSW Australia

This paper presents a dynamic model representing the rigid body motion of a four wheel steer and four wheel drive (4WS4WD) vehicle which also takes into account the rotational dynamics of the individual wheels as well as the tyre terrain interactions. It also presents a modified pursuit algorithm taking into account the kinematic constraints as well as a decentralized wheel propulsion control system. Simulation results are presented to show the model validation and the successful implementation of the path tracking algorithm.

关键词： Decision support systems computational intelligence automation Handheld computers Integrated circuits

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computational intelligence and low cost sensors in biomass combustion process

Computational intelligence and low cost sensors in biomass c...

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ieee symposium on computational intelligence in control and automation, cica

作者： Ján Pital Jozef Mižák Technicka univerzita v Kosiciach Kosice KoÅ¡ice SK Department of Mathematics Informatics and Cybernetics Faculty of Manufacturing Technologies Technical University of Košice Presov Slovakia Department of Mathematics Informatics and Cybernetics Technical University of Koå¡ice Preå¡ov Slovakia

Artificial intelligence techniques have been used for carbon monoxide and oxygen low cost sensors signal processing in biomass combustion. Considering a large scatter of the measured data two approximation tools using artificial neural networks have been tested for approximation of carbon monoxide emissions dependence on oxygen concentration in the flue gas: AForge. Neuro library and Neural Network Fitting Tool of Matlab. The comparable results of approximation have been obtained by testing of both approximation tools on the off-line measured data.

关键词： Combustion Approximation methods Biomass Boilers Process control Sensors Biological neural networks

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Mobile augmented reality based interactive teaching & learning system with low computation approach

Mobile augmented reality based interactive teaching & learni...

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ieee symposium on computational intelligence in control and automation, cica

作者： Shitala Prasad Sateesh K. Peddoju Debashis Ghosh Departement of Electronics and Computer Engineer Indian Institute of Technology Roorkee Roorke India

This paper presents a fast and efficient hand gesture based mobile augmented reality (MAR) system for interactive classroom. It provides a complex visual augmented layer over static slides to understand the concepts more clearly without touching the computer devices or using whiteboard. Simple hand gestures are used to interact with slides while presenting in the classroom or in any conference room with high accuracy and efficiency without any expensive hardware. The gesture path is tracked continuously using a color tracking algorithm proposed. A decision tree is used to make the decisions based on the gestures. The preliminary result indicates that the gesture recognition rate is near about approximately 94% and it is mostly acceptable. This enhances the user's interaction level with immersive feeling in immersive environment.

关键词： Handheld computers Decision support systems computational intelligence automation

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Application of delay-dependent adaptive control to a continuous stirred tank reactor

Application of delay-dependent adaptive control to a continu...

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ieee symposium on computational intelligence in control and automation, cica

作者： Hazem N. Nounou Mohamed N. Nounou Electrical and Computer Engineering Program Electrical and Computer Engineering Program Doha Qatar Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

The main contribution of this work is the application of delay-dependent adaptive control techniques to control nonlinear continuous stirred tank reactor (CSTR) model with state delay. The delay-dependent adaptive control problem is first formulated and stabilizing adaptive control algorithms are developed and then applied to the CSTR process model. The CSTR model includes a nonlinear perturbation which is assumed to have a norm that is bounded by a scaled norm of the state vector. Here, we consider two cases where the weight of the state norm is assumed to be known and unknown. Simulation results show the efficacy of the delay-dependent adaptive control schemes in controlling the CSTR nonlinear process model.

关键词： Adaptive control Equations Chemical reactors Delays Adaptation models Vectors State feedback

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Study on a combined scheme by using T-S fuzzy and TSMC approaches

Study on a combined scheme by using T-S fuzzy and TSMC appro...

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ieee symposium on computational intelligence in control and automation, cica

作者： Sendren Sheng-Dong Xu Yew-Wen Liang Kuo-Chin Wang Chih-Chiang Chen Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan R.O.C. Institute of Electrical Control Engineering National Chiao Tung University Hsinchu Taiwan R.O.C.

This study investigates the hybrid design by using the Takagi-Sugeno (T-S) fuzzy system modeling method and the Terminal Sliding Mode control (TSMC) technique. The combined scheme is shown to have the merits of both approaches. The presented scheme can alleviate the on-line computational burden because T-S fuzzy model can approximate the original nonlinear system and some of the parameters can be off-line computed. Moreover, it can also preserve the advantages of TSMC, including rapid response, robustness to uncertainties and/or external disturbance, and guaranteeing the fast finite-time state convergence. The proposed method is applied to a two-link robot manipulator dynamics, and it is also compared to the combination of T-S fuzzy system and conventional Sliding Mode control (SMC) design. Simulation results demonstrate the benefits of the proposed scheme.

关键词： Fuzzy systems Sliding mode control Robustness Manipulators Nonlinear systems computational modeling

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Minimal overshoot direct torque control for permanent magnet synchronous motors using Hybrid Bacteria Foraging-Particle Swarm Optimization

Minimal overshoot direct torque control for permanent magnet...

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ieee symposium on computational intelligence in control and automation, cica

作者： Ehab H. E. Bayoumi Department of Electrical and Electronics Engineering Technology Abu Dhabi Mens College (ADMC) Higher Colleges of Technology Abu Dhabi UAE

This paper presents a robust torque, flux and speed controller's design method for permanent magnet synchronous motor (PMSM) drive using Direct Torque control (DTC). A simple algorithm is presented to adjust the parameters of torque, flux and speed controllers. This mini-max optimization problem is solved using Hybrid Bacteria Foraging-Particle Swarm Optimization Approach (BF-PSO). The solution thus obtained is global optimal and robust. The proposed technique eliminates common problems including; torque ripples, low speed and integration drift. As well as it characterized by fast tracking capability, minimal overshoot responses, and robust to load disturbances and low speed operation. Results prove the effectiveness and viability of the proposed technique.

关键词： Torque Stators Optimization Vectors Inverters Microorganisms Couplings

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