This paper presents a new discrete-time sliding-mode control design for multiple-input multi-output (MIMO) systems with tuning parameters by particle swarm optimization (PSO). PSO is a kind of evolutionary algorithm b...
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Advanced conceptions to design industrial control systems are, in general, dependent of mathematical models of the controlled process. Also, the task of the controllers is to achieve an optimum performance when facing...
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Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psy...
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The global agribusiness context faces at the same time challenges of feeding a growing global population that is used to safe and nutritious food, opportunities based on innovation, high technology and efficiency in t...
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In this paper,an equivalency condition of nonsingularity in nonlinear semidefinite programming,which can be viewed as a generalization of the equivalency condition of nonsingularity for linearsemidefinite programming,...
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In this paper,an equivalency condition of nonsingularity in nonlinear semidefinite programming,which can be viewed as a generalization of the equivalency condition of nonsingularity for linearsemidefinite programming,is established under certain conditions of convexity.
The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic ex...
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The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic examples that are only dealing with simple concepts and problems; (iii) laboratory experiments are either simple or under developed. Design aspects of control systems when applied to practical processes are important to improve the knowledge of the students and to motivate the utilization of modern methodologies as an emergent technology for the applications in industry. In this work, we point out some important aspects for conceiving a new educational product. We describe our experiences in creating a didactic environment for teaching and learning the control theories in engineering courses based on CACSD (computer aided control system design) and its extension to the research field of industrial problems. Two distinct proposals arise from these experiences for reducing the gap between the theoretical and practical classes, and for teaching the control systems development cycle using mathematical tools and real plants under the virtual instrumentation concept.
This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is ma...
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This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is made, defining for each measured or observable variable a number of qualitative states. Then time Fuzzy intervals representing the moment of state change are defined. The process behaviour of the operating mode is represented by Time Fuzzy Petri nets (TFPN) model and its evolution is the consequence of events detection due to the partitioning bounds crossing. According to the membership possibility of an event to the estimated time interval and to fuzzy influence knowledge, it is possible to reason about a fault occurrence. The fuzzy data issue from the TFPN components allows evaluating the causes of the fault or failure mode. A model-based diagnosis of a hybrid system is presented.
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm in...
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Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm intelligence theory, this paper discusses the use of PSO with a Quasi-Newton (QN) local search method. The PSO is used to produce good potential solutions, and the QN is used to fine-tune of final solution of PSO. The hybrid methodology is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects.
The rampant use of resources and the increasing risk of scarcity have been contributing to greater awareness regarding the need for maintaining resources in use for longer and the shift to renewable alternatives, in w...
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WebLabs, or Remotely Operated Laboratories, allow for remote control and monitoring of interactive or batched systems with educational objectives. Considered as additional resources in education, they contribute to a ...
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WebLabs, or Remotely Operated Laboratories, allow for remote control and monitoring of interactive or batched systems with educational objectives. Considered as additional resources in education, they contribute to a flexible learning model and make possible for students to perform laboratory experiments remotely, off-class, in collaboration, thus contributing to the reduction of laboratory equipment idleness. The purpose of this paper is to report steps in designing and enabling a WebLab with background theme on the control and monitoring of thermal comfort parameters in a newborn baby incubator. Three didactical experiments can be performed in this WebLab: transfer function evaluation, on-off control and PID controller tuning, with users challenged to optimally tune the parameters of a controller algorithm. In the end of the session, the user can enter his/her impressions regarding the WebLab usage by answering a questionnaire. The WebLab design includes the evaluation of students' abilities through performance indexes while keeping operation within the requirements of an associated medical safety standard. A systematic approach for the WebLab design process has been employed, with the system design split in three layers: physical system, hardware and software. Sets of qualitative and quantitative requirements to be attended were defined. System and product design techniques, such as House of Quality, Morphological Matrix and Pugh's Method, have been employed to address the conversion of the project requirements into the Weblab overall solution. Virtual Instrumentation resources have been used to acquire temperature, humidity and air speed signals. The LabVIEW platform was used to support experiment integration and to create the user interface using LabVIEW Remote Panel architecture. The WebLab has been successfully implemented and presently can be accessed within the university network.
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