The use of DC motors is now common because of its advantages and has become an
important necessity in hel** human activities. Generally, motor control is designed with …

These investigations are to find the numerical solutions of the nonlinear smoke model to
exploit a stochastic framework called gudermannian neural works (GNNs) along with the …

The proportional-integral-derivative controller is widely used in various industrial
applications. But, in many noisy problems the strong methods are needed to optimize the …

High-efficiency and accurate temperature control is the key to the application of microfluidic
technology in biology, chemistry and medicine fields. At present, gradient temperature …

The robust control of the crude oil outlet temperature uniformity in a heating furnace of a
petroleum refinery is addressed. A reliable dynamic model of the nominal process has been …

The advancement of renewable energy resources and their implementation in the power
sector poses a serious challenge of maintaining the frequency. In this article, a specified …

To improve the performance, robustness and stability of autotuning the proportional integral
and derivative (PID) parameter, the novel stable particle swarm optimization (NSPSO) is …

The accelerator driven subcritical system (ADS) reactor, an accelerator driven transmutation
research facility relies on control rod and external neutron source to realize core power …

This study proposes a type of Sliding Mode-based Proportional, Integral, and Derivative
(SMPID) controllers to establish a model-free (treat dynamic plants as a whole uncertainty) …

Temperature control of electric heating furnaces, a common piece of equipment in industrial
production, is essential for assuring product quality and enhancing production effectiveness …