This book covers four optimisation techniques loosely classified as" intelligent": genetic
algorithms, tabu search, simulated annealing and neural networks.• Genetic algorithms …

Fuzzy control methods are critical for meeting the demands of complex nonlinear systems.
They bestow robust, adaptive, and self-correcting character to complex systems that demand …

Describes a methodology for the systematic design of fuzzy PID controllers based on
theoretical fuzzy analysis and, genetic-based optimization. An important feature of the …

It has been proved that fuzzy controllers are capable of approximating any real continuous
control function on a compact set to arbitrary accuracy. In particular, any given linear control …

New upper bounds for the measure problem of Klee are given which significantly improve
the previous bounds for dimensions greater than two. An O(n^d/2\logn,n) time-space upper …

We investigated the analytical structure of the Takagi-Sugeno (TS) type of fuzzy controllers,
which was unavailable in the literature. The TS fuzzy controllers we studied employ a new …

A general methodology for constructing fuzzy membership functions via B-spline curves is
proposed. By using the method of least-squares, the authors translate the empirical data into …

Because of both the global energy crisis and the necessary improvement of energy
efficiency in buildings, one of the largest sectors of energy consumption and greenhouse …

Takagi-Sugeno (TS, for short) fuzzy controllers have been used and treated as black-box
controllers, and there exists no explicit structure of any TS fuzzy controller in the literature. In …

We first present a novel general-purpose nonlinear PID controller realized via fuzzy PID
control that uses our newly-introduced simplified Takagi–Sugeno (TS) rule scheme …