This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which...
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This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which is highly nonlinear and multi-variable dependent, 2-D WSDP model is used. The simulation results demonstrate the effectiveness and advantages of the identified model.
This article is aimed at the software development process of modern *** first part of this article starts with the general classification of information systems based on user interaction *** an insight into methodolog...
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ISBN:
(纸本)9781612848334
This article is aimed at the software development process of modern *** first part of this article starts with the general classification of information systems based on user interaction *** an insight into methodologies,methods,design patterns and tools,which are part of modern software development,a life cycle is *** second part is devoted to implementing the details of the presented modern trends within a real world ***,selected drawbacks with proposed solutions are *** main goal of this article it to provide an overview of the current modern trends in software development and to point out problems which could be uncovered during the adaptation phase of these disciplines.
This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which...
详细信息
This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which is highly nonlinear and multi-variable dependent, 2-D WSDP model is used. The simulation results demonstrate the effectiveness and advantages of the identified model.
This paper proposes new optimization algorithms for the optimal tuning of PI controllers dedicated to a class of second-order processes with integral component and variable parameters. The sensitivity analysis with re...
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This paper proposes new optimization algorithms for the optimal tuning of PI controllers dedicated to a class of second-order processes with integral component and variable parameters. The sensitivity analysis with respect to the parametric variations of the controlled process leads to the sensitivity models. The augmentation of the output sensitivity functions over the integral of absolute error criterion results in the definition of objective functions, and the corresponding optimization problems are solved by Particle Swarm Optimization (PSO) and Gravitational Search Algorithms (GSA). The algorithms are tested in a case study associated with several analyses.
This paper describes the development of a virtual laboratory used as a self-based learning tool for control engineering education at undergraduate level. It relies on real time animation to emulate the operation and c...
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This paper describes the development of a virtual laboratory used as a self-based learning tool for control engineering education at undergraduate level. It relies on real time animation to emulate the operation and connectivity of the physical plant. Here, the real world laboratory plant is mimiced by a 3D-VRML (Virtual Reality Modeling Language) and Cortona automation interface. This provides a virtually interactive environment which allows users to freely manipulate the virtual plant as if they should be in the real world laboratory environment with the physical hardware.
Nowadays in solving adaptive control problems Lyapunov's second method is generally involved. Although, the method is ingenious and very popular, recently alternative solutions have appeared which in many cases pr...
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An experimental comparison of two common parameter identification schemes is presented. The recursive least-squares method and the extended Kalman filter are applied to identify three parameters of a second-order line...
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ISBN:
(纸本)9781457708381
An experimental comparison of two common parameter identification schemes is presented. The recursive least-squares method and the extended Kalman filter are applied to identify three parameters of a second-order linear mass-spring-damper model, using data obtained from a nanopositioning stage with a highly resonant dynamic response.
Nowadays in solving adaptive control problems Lyapunov's second method is generally involved. Although, the method is ingenious and very popular, recently alternative solutions have appeared which in many cases pr...
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Nowadays in solving adaptive control problems Lyapunov's second method is generally involved. Although, the method is ingenious and very popular, recently alternative solutions have appeared which in many cases prove to be more advantageous and also effective. One of these methods is the family of Robust Fixed Point Transformations (RFPT) which can be used in several areas successfully. In this paper a novel variant of RFPT is introduced which reduces the range of the main function by half while keeps the result as effective as before. This statement is illustrated via simulations where two coupled Fitz-Hugh-Nagumo neurons are synchronized by the modified system.
Process chains are a common modeling paradigm for analysis and optimization of logistic processes, and are intensively used in many practical applications. The ProC/B toolset is a collection of software tools for mode...
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His paper presents a monitoring application using Intelligent Space. Intelligent Space (iSpace) is a space in which many intelligent devices, called distributed intelligent network devices (DINDs), are placed to obser...
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His paper presents a monitoring application using Intelligent Space. Intelligent Space (iSpace) is a space in which many intelligent devices, called distributed intelligent network devices (DINDs), are placed to observe the environment. Communicating with individual DINDs enable iSpace to apprehend and understand events in this space and to activate intelligent agents such as mobile robots, computer devices, and digital equipment to provide information and services to users based on observed information. Using the iSpace observation system, we can obtain multiple humans' positions and postures at the same time, even if the humans are in different places in iSpace. Therefore, in this paper we use the iSpace to monitor daily environments with the purpose of home case support. Also, we apply a mobile robot as a tool to deliver monitoring results to users. For designing human-robot communication to achieve continuous and command-free communication between a user and a mobile robot, we present an ethologically inspired human-robot communication model involving several simulations.
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