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Inferential sensors, or soft sensors, refer to a modeling approach to estimating hard-to-measure process variables from other easy-to-measure, on-line sensors. Since many sensors are used as input variables to estimate the output, the probability of one of the sensors fails increases signiicantly. In this paper, we propose a self-validating inferential(More)
— Input and output time delays in continuous-time state-space systems are treated separately as their effects are encountered before and after the state dynamics. Existing discretization techniques for such systems usually consider the delays to be integer multiples of the sampling time. This work develops a discretization procedure for multi-variable(More)
A general mathematical model of viral infections inside a spherical organ is presented. Transported quantities are used to represent external cells or viral particles that penetrate the organ surface to either promote or combat the infection. A diffusion mechanism is considered for the migration of transported quantities to the organ inner tissue. Cases(More)
In this paper, a unified approach for control systems education will be presented. This approach is a friendly software and hardware platform that provides students with the necessary tools for gathering data for system identification, designing controllers, simulating the closed-loop system, and implementing the controller on real-time hardware. The(More)