Feature detectors using a quadratic nonlinearity in the ltering stage are known to have some advantages over linear detectors; here we consider how their scale-space properties compare. In particular, we investigate the question whether, like linear detectors, quadratic feature detectors permit a scale-selection scheme with the \causality property", which guarantees that features are never crea...

An exact supremum-of-quadratics representation for log-barrier functions is developed for, and subsequently applied in, a state-constrained linear regulator problem. By approximating this representation, it is shown that this regulator problem can be approximated by an unconstrained linear quadratic dynamic game. It is anticipated that this game approximation may facilitate the computation of a...

A new methodology is introduced for designing and tuning the scaling gains of the conventional fuzzy logic controller (FLC) based on its well-tuned linear counterpart. The conventional FLC with a linear rule base is very similar to its linear counterpart. The linear three-term controller has proportional, integral and/or derivative gains. Similarly, the conventional fuzzy three-term controller ...

In continually increasing area and structure of modern power system having burden demand uncertainties, the use knowledgeable vigorous frequency strategy is essential for satisfactory functioning Power system. A combined fuzzy proportional-integral-derivative (CFPID) controller suggested supervision To optimize parameters, a review sine cosine work adjusted improved whale optimization algorithm...

We show that the Lagrangian dual of a constrained linear estimation problem is a particular nonlinear optimal control problem. The result has an elegant symmetry, which is revealed when the constrained estimation problem is expressed as an equivalent nonlinear optimisation problem. The results extend and enhance known connections between the linear quadratic regulator and linear quadratic state...

A hybrid model is designed by combining the genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic to determine the optimal parameters of a proportional-integralderivative (PID) controller. Our approach used the rule base of the Sugeno fuzzy system and fuzzy PID controller of the automatic voltage regulator (AVR) to improve the system sensitive response. Th...

This paper presents the detailed account on the control design for input tracking of a buck converter driven dc motor. Proportional-Integral (PI), Proportional-Integral-type Fuzzy Logic controller (PI-type FLC) and Linear Quadratic Regulator (LQR) are the techniques proposed in this investigation to control the speed of a dc motor. The dynamic system composed from buck-converter/dc motor is con...

In industrial environments, the heat exchanger is a necessary component to any strategy of energy conversion. Much of thermal energy used in industrial processes passes at least one times by a heat exchanger, and methods systems recovering thermal energy. This survey paper tries to presents in a systemic way an sample control of a heat exchanger by comparison between three controllers LQR (line...

Local Regularity of the Complex Monge-Ampère Equation Yu Wang In this thesis, we study the local regularity of the complex Monge-Ampère equation, (√ −1∂∂̄u )n = fdx where √ −1∂∂̄u stands for the complex Hessian form and dx the Lebesgue measure. The underline idea of our work is to consider this equation as a full-nonlinear equation and apply modern theory and techniques of elliptic PDEs. Our main...

This paper presents a decentralized control problem for stabilizing the nonlinear large-scale descriptor (LSD) systems that use proportional-plus-derivative state (PD) feedback scheme. The have great focus on research because they can contain more physical characteristics than standard state-space systems. At first, each subsystem in LSD system be represented by Takagi-Sugeno (T-S) with interco...