Intelligent sensors offer new capabilities in process measurement, including networked communications, self-diagnostics, sampling on-demand, and dynamically defined measurement uncertainty intervals. Traditional contr...
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ISBN:
(纸本)0780312074
Intelligent sensors offer new capabilities in process measurement, including networked communications, self-diagnostics, sampling on-demand, and dynamically defined measurement uncertainty intervals. Traditional control and system theory models do not adequately consider the measurement uncertainty information and the nonperiodic sampling possible from intelligent sensors. This paper introduces a new modeling framework for systems exhibiting these irregular observations. The framework uses linear constraints and a variation of descriptor system models to represent relational dynamics and set-valued observation information. The paper illustrates the use of the model framework for set-valued state estimation.
This conference proceedings contain 77 papers. Topics covered include: process engineering;Dynamic simulation of chemical and biochemical processes and equipment;Mathematical techniques for analysis and simulation;Com...
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This conference proceedings contain 77 papers. Topics covered include: process engineering;Dynamic simulation of chemical and biochemical processes and equipment;Mathematical techniques for analysis and simulation;Computer software and simulators for process engineering;Optimal design of processes;control and monitoring of processes and equipment;Artificial intelligence;Expert systems and industrial applications;Distillation equipment simulation;Fermentation and fermentor simulation;Computational fluid dynamics;Optimization;and Mathematical modelling of mass transfer, heat transfer, and thermodynamics.
This conference proceedings contains 21 papers reporting on the current status of computer-based modeling, simulation and control of hydrometallurgical processes. Topics discussed include use of the population balance...
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ISBN:
(纸本)0919086446
This conference proceedings contains 21 papers reporting on the current status of computer-based modeling, simulation and control of hydrometallurgical processes. Topics discussed include use of the population balance approach in the modeling and simulation of hydrometallurgical processes, steady-state modeling of a uranium extraction circuit, macromodels for leaching systems, a mathematical model for galena leaching with ferric chloride, hydrometallurgical process simulation at an electrolytic zinc plant, use of a process model for copper sulfate production, computer simulation of mineral and hydrometallurgical processes, computer simulation and analysis of pressure oxidation autoclaves, reactor optimization in the pressure oxidation process, simulation and control of gold ore cyanidation units, simulation of the fluid dynamics and flow in a Pachuca tank, computer aided design of commercial soda ash processes, automation and modeling of the cobalt hydrogen reduction process, the role of online analyzers in controlling electrolytic refining, and an online sensor for monitoring the quality of zinc sulfate electrolyte.
An algorithmic approach to feedback design is introduced. This approach makes it possible to replace the previous iterative design process, which is often tedious, with a straightforward algorithm. The new approach is...
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An algorithmic approach to feedback design is introduced. This approach makes it possible to replace the previous iterative design process, which is often tedious, with a straightforward algorithm. The new approach is developed based on the matrix interpolation theory. It reduces the design problem to solving a set of linear algebraic equations. The simplicity and the algorithmic nature of such an approach make it attractive to self-tuning controlsystems, where the compensators are continuously tuned online as the dynamics of the physical process varies with time. Extensions of the algorithm to multi-input multi-output systems as well as discrete time systems are introduced.< >
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