The principle is to compensate the large inertia and delay characteristic of the plant by state feedback theory, then to control the generalized plant by ...

ABSTRACT. This paper purposed a new generalized predictive control based on state feedback theory for the large inertia and large delay.

The idea is to compensate the large inertia and delay characteristics of the plant by the state feedback theory and the generalized plant by predictive control.

Dive into the research topics of 'Research and application of a new predictive control based on state feedback theory in power plant control system'.

2007 IEEE Congress on Evolutionary Computation (CEC 2007). 4379. Page 3. 4380. 2007 IEEE Congress on Evolutionary Computation (CEC 2007). Page 4 ...

Research and application of a new predictive control based on state feedback theory in power plant control system. Hua Z., Rua H., Lu J., Zhang T.

This article provides an overview of model predictive control (MPC) frameworks for dynamic operation of nonlinear constrained systems.

It uses neural network algorithm to predict the system output at the next time according to the input signal, and optimizes the performance criterion function ...

This chapter discusses the current practice in MPC, computational and design issues, performance and stability and future research directions. Model pre-.

In this work, the advanced control strategy predictive model control was used to design the controller to study the core power control of a fast reactor.