Soft-Computing Model-Based Controllers for Increased Photovoltaic Plant Efficiencies

Exploiting Soft Computing for Increased Fault Tolerance

Traditionally, fault tolerance researchers have made very strict assumptions about program correctness. Such strict notions of correctness are appropriate for workloads that are numerically oriented. However, a growing number of important workloads produce results that have a higher (often qualitative) user-level interpretation. We call these soft computations. Examples of soft computations inc...

Soft Computing in Model – Based Predictive Control †

The application of fuzzy reasoning techniques and neural network structures to model-based predictive control (MPC) is studied. First, basic structures of MPC algorithms are reviewed. Then, applications of fuzzy systems of the Takagi-Sugeno type in explicit and numerical nonlinear MPC algorithms are presented. Next, many techniques using neural network modeling to improve structural or computat...

Soft Computing Based Controllers Implementation for Non-linear Process in Real Time

The aim of this paper is to implement controllers based on soft computing techniques in real time for a non-linear process. The process taken up for study is to control the level in a conical tank setup using cost effective data acquisition system. The system identification of this nonlinear process is done using black box modeling and found to be First Order Plus Dead Time (FOPDT) model. Then ...

Comparison of Conventional and Model، Based Controllers for Controlling a Batch Polymerization Reactor

COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING

This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not...