This paper describes a self-tuning Neuro-fuzzy Controller by Genetic Algorithm (NFCGA) applied to a coupled-tank fluid level control. The controller use a simplified fuzzy algorithm which based on the Radial Basis Function neural network (RBF). Genetic Algorithm (GA) is used to tune simultaneously all the parameters of controller from a random state. A plant model is used initially to tune the ...

For the shortcoming that the PI controller parameters can’t been dynamic tuning in constant voltage control system of doubly-fed wind turbines, a PI controller parameters dynamic tuning strategy based on the ant colony optimization (ACO) algorithm is presented. This strategy makes the two parameters in PI controller as the ant of the ant colony, the controlled absolute error integral function t...

Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. In this paper, Particle Swarm Optimization (PSO) algorithm based PID controller tuning is attempted for the concentration control of Continuous Stirred tank reactor (CSTR). The Modeling can be ...

Database tuning is a common problem, but it requires much knowledge about the characteristics of the database system and the expected workload. Dynamically changing workload complicates the search for the perfect settings. In this contribution we present several approaches that autonomously examine the operations and adjust different parameters. Even though different tools for this task are ava...