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Performance comparison of evolutionary techniques enhanced by Lozi chaotic map in the task of reactor geometry optimization

Performance comparison of evolutionary techniques enhanced b...

引用

28th European Conference on Modelling and Simulation, ECMS 2014

作者： Pluhacek, Michal Senkerik, Roman Zelinka, Ivan Davendra, Donald Tomas Bata University in Zlin Faculty of Applied Informatics Nam T.G. Masaryka 5555 760 01 Zlin Czech Republic Department of Computer Science Faculty of Electrical Engineering and Computer Science VB-TUO 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic

ISBN: (纸本)9780956494481

In this study the performance of two popular evolutionary computational techniques (particle swarm optimization and differential evolution) is compared in the task of batch reactor geometry optimization. Both algorithms are enhanced with chaotic pseudo-random number generator (CPRNG) based on Lozi chaotic map. It is depicted the course of the reactor processes dynamical parameters for the best obtained solutions for both algorithms and numerical values of cost functions are compared. The promising results are discussed. Proceedings 28th European Conference on Modelling and Simulation © ECMS Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani (Editors).

关键词： Cost functions

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Verification and Performance Evaluation of Parallel Pipelined Communications Using Petri Nets

Verification and Performance Evaluation of Parallel Pipeline...

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International Conference on computer Modeling and Simulation, UKSIM

作者： Stavros Souravlas Manos Roumeliotis Department of Computer Science & Engineering Jubail University College Jubail Industrial City KSA Department of Applied Informatics University of Macedonia Thessaloniki Greece

The growing use of multiprocessing systems has given rise to the necessity of modeling, verifying, and evaluating their performance, in order to fully exploit hardware [9], [15], [16]. The Petri Net (PN) formalism is a suitable tool for modeling parallel systems, because of basic characteristics of these systems, like parallelism and process synchronization. The system under study can be evaluated by means of generating and analyzing a set of processes. In addition [11], the PN formalism allows the incorporation of more details of the real system into the model. Examples of such details include the study of contentions for shared resources (like memory) and the study of blocked processes. In this paper, PN are considered as a modeling framework to verify and study the performance of parallel pipelined communications. The main strength of the pipelines is that, if organized in a proper way, they lead to overlapping of computation, communication, and read/write costs that incur in parallel processing ([7], [1], [14]). The PN model presented in this paper, accurately captures the behavior of a pipeline based parallel communication system. The model considers parallelization, message scheduling, and message classification, while it is proven to be free of deadlocks and contentions. Also, the model is characterized by symmetry, and thus it can be extended for large and complex systems.

关键词： Pipelines Vectors Computational modeling Pipeline processing Bandwidth Mathematical model Educational institutions

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An approach to fuzzy modeling of anti-lock braking systems 17

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17th Online World Conference on Soft Computing in Industrial Applications, WSC17

作者： David, Radu-Codruţ Grad, Ramona-Bianca Precup, Radu-Emil Raăac, Mircea-Bogdan Dragoş, Claudia-Adina Petriu, Emil M. Department of Automation and Applied Informatics Politehnica University of Timisoara Bd V Parvan 2 TimisoaraON 300223 Romania School of Electrical Engineering and Computer Science University of Ottawa 800 King Edward OttawaONK1N 6N5 Canada

ISBN: (纸本)9783319009292

This chapter proposes an approach to fuzzy modeling of Anti-lock Braking Systems (ABSs). The local state-space models are derived by the linearization of the nonlinear ABS process model at ten operating points. The Takagi- Sugeno (T-S) fuzzy models are obtained by the modal equivalence principle, where the local state-space models are the rule consequents. The optimization problems are defined in order to minimize the objective functions expressed as the squared modeling errors, and the variables of these functions are a part of the parameters of input membership functions. Simulated Annealing algorithms are implemented to solve the optimization problems and to obtain optimal T-S fuzzy models. Real-time experimental results are included to validate the new optimal T-S fuzzy models for ABS laboratory equipment. © Springer International Publishing Switzerland 2014.

关键词： Membership functions

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Design and testing of a constrained data-driven iterative reference input tuning algorithm

Design and testing of a constrained data-driven iterative re...

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European Control Conference (ECC)

作者： Mircea-Bogdan Radac Radu-Emil Precup Emil M. Petriu The Department of Automation and Applied Informatics University of Timisoara Timisoara Romania The School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada

ISBN: (纸本)9781479947287

This paper presents aspects concerning the design and testing of a new data-driven Iterative Reference Input Tuning (IRIT) algorithm that solves a reference trajectory tracking problem expressed as an optimization problem with control signal saturation constraints and control signal rate constraints. The design of the IRIT algorithm uses an experiment-based stochastic search algorithm formulated in the framework of Iterative Learning Control (ILC) in order to combine the advantages of data-driven control and of ILC. The iterative tuning is model-free in the sense it does not use control system models. A set of simulation results tests and validates the IRIT algorithm in a case study related to a representative mechatronics application that deals with the position control of a nonlinear aero-dynamical system. The IRIT algorithm offers the performance improvement by few iterations and experiments conducted on the process.

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Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms

Performance analysis of torque motor systems with PID contro...

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IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications

作者： Radu-Emil Precup Andrei-Leonard Borza Mircea-Bogdan Radac Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper deals with the optimal tuning of proportional-integral-derivative (PID) controllers for a pancake direct current (DC) torque motor system that belongs to a Diesel engine exhaust gas recirculation valve in automotive applications. The Bacterial Foraging Optimization (BFO) algorithms solve an optimization problem which targets the minimization of an objective function expressed as the weighted sum of overshoot plus the integral of squared control error, and the parameters of the PID controllers are the variables of the objective function. Our BFO algorithms are characterized by the validation of the position of bacteria only if the PID control system response is in a valid range. A digitally simulated case study which deals with the shaft angle control of a DC torque motor system is considered. The impact of four parameters of one BFO algorithm on the objective function values is discussed.

关键词： Linear programming Microorganisms Optimization Torque Control systems Tuning Algorithm design and analysis

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Bacterial Foraging Optimization approach to the controller tuning for automotive torque motors

Bacterial Foraging Optimization approach to the controller t...

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IEEE International Symposium on Industrial Electronics (ISIE)

This paper proposes the Bacterial Foraging Optimization (BFO)-based tuning of controllers for a pancake DC torque motor in the framework of a Diesel engine exhaust gas recirculation valve as a representative automotive torque motor actuator. The validation of the position of bacteria only if the control system response is in a valid range is inserted in the BFO algorithm. PID and sliding mode controllers are optimally tuned by the BFO algorithm focused on solving an optimization problem that minimizes an objective function expressed as the weighted sum of overshoot plus the integral of squared error. The parameters of these two controllers belong to the vector variables of the objective function. A case study that deals with the shaft angle control of an automotive torque motor actuator is included to validate our approach by simulation results. The comparison of control system performance is carried out.

关键词： Microorganisms Optimization Tuning Torque DC motors Actuators Vectors

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Multi-robot charged system search-based optimal path planning in static environments

Multi-robot charged system search-based optimal path plannin...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： Radu-Emil Precup Emil M. Petriu Lucian-Ovidiu Fedorovici Mircea-Bogdan Radac Florin Dragan Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania University of Ottawa School of Electrical Engineering and Computer Science Ottawa ON Canada

This paper proposes an optimal path planning approach based on Charged System Search (CSS) algorithms. The approach is applied to multiple mobile robots on holonomic wheeled platforms. Optimization problems (o.p.s) are defined for each robot to minimize the weighted sum of four objective functions whose minimization targets four path planning objectives. The CSS algorithms are mapped onto the o.p.s considering that the fitness functions are the objective functions, the search spare is the solution space, the agents (charged particles) are the mobile robots, and the population of agents is the set of mobile robots. Therefore, the optimal solutions to the o.p.s are the optimal paths. The new path planning approach is validated by experiments, and a comparison with other nature-inspired optimization-based path planning approaches is given.

关键词： Path planning Sociology Statistics Collision avoidance Optimization Mobile robots

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Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems

Particle Swarm Optimization of fuzzy models for Anti-Lock Br...

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IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS)

作者： Radu-Emil Precup Marius-Csaba Sabau Claudia-Adina Dragos Mircea-Bogdan Radac Lucian-Ovidiu Fedorovici Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper suggests a Particle Swarm Optimization (PSO) approach to the optimal tuning of fuzzy models for Anti-lock Braking Systems (ABSs). A set of ten local state-space models of the ABS is first obtained by the linearization of the nonlinear state-space model of the ABS process at ten operating points. The initial Takagi-Sugeno (T-S) fuzzy models are next obtained by the modal equivalence principle, namely by placing the local state-space models of the process in the rule consequents. The optimization problem targets the minimization of the objective function (OF) expressed as the mean squared modeling error, and the vector variable of the OF consists of the feet of the triangular input membership functions. A PSO algorithm solves the optimization problem and gives the optimal T-S fuzzy models. A set of real-time experimental results is included to validate the PSO approach and the optimal T-S fuzzy models for real-world ABS laboratory equipment.

关键词： Vectors Optimization Wheels Mathematical model Tuning Adaptation models State-space methods

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Model-free tuning solution for sliding mode control of servo systems

Model-free tuning solution for sliding mode control of servo...

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Annual IEEE Systems Conference

作者： Radu-Emil Precup Mircea-Bogdan Radac Claudia-Adina Dragos Stefan Preitl Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

This paper suggests a model-free tuning solution for a sliding mode control system (SMCS) structure dedicated to servo systems. The new SMCS structure is viewed in the framework of reference trajectory tracking using a first-order nonlinear dynamic system as a local approximation of the process model. The sliding mode control signal augments the control signal specific to a model-free PI control system (CS) structure in order to compensate for the estimation errors which affect the systematic design and performance. The derivatives in the local approximation of the process model are estimated numerically using a Savitzky-Golay filter to carry out both differentiation and smoothing. A simple design approach is proposed for the SMCS structure. The real-time experimental results concerning the speed control of a laboratory nonlinear DC servo system prove the performance improvement of the SMCS structure against a model-free PI CS structure.

关键词： Tuning Trajectory Process control Sliding mode control Servomotors Mathematical model Linear approximation

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Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments

Data-driven model-free control of twin rotor aerodynamic sys...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： Mircea-Bogdan Radac Raul-Cristian Roman Radu-Emil Precup Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania University of Ottawa School of Electrical Engineering and Computer Science Ottawa ON Canada

This paper suggests new data-driven Model-Free Control (MFC) and Model-Free Adaptive Control (MFAC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. The discrete-time formulation of the algorithms is given in the framework of a MIMO control system structure with azimuth and pitch position control loops. The MFC and MFAC algorithms are validated by a set of experimental results on representative laboratory equipment. The performance comparison of the MFC- and MFAC-based MIMO control systems and azimuth and pitch position control is carried out considering three experimental scenarios.

关键词： MIMO Azimuth Vectors Heuristic algorithms Aerodynamics Rotors Tuning

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