[PDF] Top 20 Quadratic optimal fuzzy control

... non-linear quadratic optimal control is described using a fuzzy logic methodology based on Pontryagin’s Minimum ...the optimal ones. The values found are saved in a fuzzy ... See full document

... In general, there are three different approaches to improve the induction motor efficiency especially under light-load conditions [4], namely, loss model controller (LMC), search controller (SC), and lookup table ... See full document

... of DM2 that is a singleton. In other words, the upper- level problem to be solved for DM1 is also a strictly concave programming problem. From this fact together with the above theorem, the Stackelberg solution of (15) ... See full document

... in optimal manner to a step lane change ...An optimal lane keeping controller delivers the adequate angles in order to stabilize the vehicle’s trajectory in an optimal ...proposed control ... See full document

... consider optimal control problems that consist to min- imize a delayed non-linear cost functional subject to a delayed dierential system that is linear with respect to state, but not with respect to ...be ... See full document

... for optimal control problems with differential algebraic equations in the linear quadratic case and, in more general cases, on numerical ...three optimal control problems are derived in ... See full document

... co-state fuzzy control through 74 fuzzy ...the fuzzy system, is improved by the learning ...the fuzzy control ...forward control function error during the FM training and ... See full document

... Knitro [37], short for “Nonlinear Interior point Trust Region Optimization”, was created primarily by Richard Waltz, Jorge Nocedal, Todd Plantenga and Richard Byrd. It was in- troduced in 2001 as a derivative of academic ... See full document

... multi-objective quadratic programming ...construct quadratic membership function by determining individual best solution of the objective function of the level ...The quadratic membership functions ... See full document

... 0.118s. Moreover the controller has shown a good robustness considering the plant parameters changing. In order to improve the overshoot and the settling time, a fuzzy controller with optimized membership ... See full document

... time-invariant optimal control problem. Here, using tools from optimal control, we go a step ...linear-quadratic optimal control problems, which are not necessarily ... See full document

... First, a major step is required to approximate the nonlinear problem by a quadratic programming problem (QP). The constraints of such approxima- tion correspond to the linearization of (16). The quadratic ... See full document

... minimizing a quadratic function fuel consumption. This problem may not always be feasible. Depending on the maximum power available for the engine, there is a minimum value of the time interval required to ... See full document

... the control u. One applies control measures that are associated with some implementation costs that we also intend to ...the control in a quadratic form, we are being consistent with previous ... See full document

... ambientes fuzzy, apesar de ainda não ter muitos trabalhos ...variacionais fuzzy utilizando- se de derivada Buckley e ...versão fuzzy Equação de ...fracionário fuzzy usando a derivada de ... See full document

... of optimal control problems involve the control of dynamic systems that evolve over time either continuous-time systems or discrete-time ...stochastic optimal control theory has been ... See full document

... vibration control system has been proposed to reduce unwanted vehicle ...the control approach as passive, active and semi-active ...Passive control systems use absorbing or dissipating energy devices ... See full document

... In this article, a new approach based on a minimum number of features extracted from the mouth region and without using a reference face was proposed to recognize human emotions. The extracted features were used to draw ... See full document

... a fuzzy controller with easier and faster-tuning ...and fuzzy rules of a neural network FLC ...most optimal fuzzy rules and input/output membership functions in developing a fuzzy ... See full document

... Optimal control problems, with controls taking values on an open set, are now a subject of intensive investigation because of their recent applications to mod- ern technology, like in “smart materials” ... See full document