An adaptive neural network control scheme for thermal power system is described. No off-line training is required for the proposed neural network controller. The online tuning algorithm and neural network architecture are described. The performance of the controller is illustrated via simulation for different changes in process parameters. Performance of neural network controller is compared wi...

As in most of the existing industrial process control applications, the desired value of the controlled variable, or set-point, normally remains constant (regulatory control or disturbance rejection operation) but needs to be changed (servo-control or setpoint tracking operation) we are mainly interested in the two-degree-of-freedom (2DoF) implementation of the PID control algorithms. The extra...

The widely used backpropagation algorithm based on stochastic gradient descent suffers from typically slow convergence to either local or global minimum error. This backpropagation algorithm bears great resemblance to a classic proportional integral derivative (PID) control system. Fractional calculus shows promise for improving stability and response in feedback control through the use of non-...

A third generation wide-band-gap SiC semiconductor device is used in the arc welding power source, which has a higher inverter frequency and greatly improves dynamic characteristics of providing opportunities for control algorithm optimization. composite method source combining expert system single neuron Proportional-Integral-Derivative (PID) proposed this paper, aimed at fact that proportiona...

BACKGROUND Clinical studies have shown that the Medtronic proportional-integral-derivative (PID) control with insulin feedback (IFB) provides stable 24 h glucose control, but with high postprandial glucose. We coupled this algorithm to a Food and Drug Administration-approved type 1 diabetes mellitus simulator to determine whether a proportional-derivative controller with preprogrammed basal rat...

In this report, the objective is to study how to tune PI controllers in a decentralized control structure for multivariable systems. Robustness with respect to (i) parameter changes, (ii) multivariable interactions including opening and closing other loops and (iii) input saturation are tuning criteria. The SIMC tuning rules are extended to the proposed ‘robust’ SIMC settings which takes expect...

Mutual knowledge of state information among robots is a crucial requirement for solving distributed control problems, such as coverage control of mobile sensing networks. This paper presents a strategy for exchanging state estimates within a robot team. We introduce a deterministic algorithm that broadcasts estimates of nearby robots more frequently than distant ones. We argue that this frequen...

The design of a Proportional-Integral-Derivative (PID) controller with proportional, integral, and derivative, gain, k p , i d respectively, for time-delay system, is quite common, particularly in the - plane, fixed or . These methods have been widely reported literature, however, process investigating effects using any these planes on system performance has not given serious attention hence ne...