Applied optimal control and estimation: Digital design and implementation : Frank R. Lewis

Identification And Stochastic Adaptive Control Systems Control Foundations Applications

Title Type identification and stochastic adaptive control systems & control foundations & applications PDF digital control systems volume 2 stochastic control multivariable control adaptive control applications PDF stochastic systems estimation identification and adaptive control prentice-hall information and system sciences series PDF model-based control of networked systems systems & control ...

The Optimal Design of the VSI T^2 Control Chart

Recent studies have shown that the variable sampling interval (VSI) scheme helps practitioners detect process shifts more quickly than the classical scheme (FRS). In this paper, the economically and statistically optimal design of the VSI T2 control chart for monitoring the process mean vector is investigated. The cost model proposed by Lorenzen and Vance (1986) is minimized through a genetic a...

Determining the Sample size for Estimation of the CCC-R Control Chart Parameters Based on Estimation Costs

In today's highly competitive industrial environment due to fast technology development, quality practitioners will to detect out-of-control situations and take actions whenever is necessary as soon as possible. Accordingly, new statistical procedures have been enhanced incessantly both to handle high yield processes along with looking for methods of minimizing all quality cost. CCC-r chart, th...

Optimal estimation with an introduction to stochastic control theory : Frank L. Lewis

Markovian Delay Prediction-Based Control of Networked Systems

A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...