Probability density function (PDF) control strategy investigates the controller design
approaches where the random variables for the stochastic processes were adjusted to …

Complex systems seen either in general engineering practice or economics are subjected to
ever increased uncertainties that are mostly represented as random variables or …

This paper presents a selected survey covering the advances of fault diagnosis and fault
tolerant control using data driven techniques. A brief summary of the general developments …

In this paper, an improved cascade control methodology for superheated processes is
developed, in which the primary PID controller is implemented by neural networks trained by …

The wireless-enabled Industrial Internet of Things (IIoT) system is promising due to its
flexibility and cable-free deployment. The varying fading channel will lead to the random …

A novel run-to-run control methodology for semiconductor processes with uncertain
metrology delay which is developed by combining the minimum error entropy and the …

Pulp is the most important raw material in paper industries, whose fiber length stochastic
distribution (FLSD) shaping directly determines the energy consumption and paper quality of …

The fault diagnosis (FD) and minimum entropy fault tolerant control (FTC) algorithms are
proposed for non-Gaussian singular stochastic distribution control (SDC) systems in this …

A neural network (NN)‐based cascade control system is developed, in which the primary
proportional–integral–derivative (PID) controller is constructed by NN. A new entropy‐based …

In this paper, a new method for adaptive control of general nonlinear and non-Gaussian
unknown stochastic systems has been proposed. The method applies the minimum entropy …