This paper presents a critical review of the research conducted for modeling and controlling
supercritical power plants. Thermal power plants are classified according to the boiler …

Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These
type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially" fuzzy …

In the Proportional-Integral-Derivative (PID) controllers the control signal is a linear function
of: the current control error (the proportional part), the past errors (the integral part) and the …

Process Control Performance Assessment is a practical guide to the application of control
benchmarking to real, complex, industrial processes. It presents commercial solutions as …

This paper presents the design and evaluation of a dynamic simulator for an ISCC
(integrated solar combined cycle) plant. The design of the simulator is based on the …

The paper addresses an important challenge for the automatic processing of English written
text: understanding noun compounds' semantics. Following Downing (1977)[1], we define …

The subject of this paper is to discuss selected effective known and novel structures for
advanced process control and optimization. The role and techniques of model-based …

The combined cycle power plants are the most recognized thermal power plants for their
high efficiency, fast start-up capability, and relatively low environmental impact. Moreover …

We describe in this paper a new approach for plant monitoring and diagnostics using type-2
fuzzy logic and fractal theory. The concept of the fractal dimension is used to measure the …

This paper describes a method for model predictive control (MPC) with model maintenance.
A supervisor maintains the control model in real time by providing an estimate of …