In this paper we describe a hybrid model and an optimization-based control strategy for solving a traction control problem. The problem is tackled in a systematic way from modeling to control synthesis and implementation. The model is described first in the language HYSDEL (HYbrid Systems DEscription Language) to obtain a mixed-logical dynamical (MLD) hybrid model of the open-loop system. For t...

A novel method for solving optimal tracking control of linear quadratic time-varying systems with differentforms time delays in state and input variables constraints is presented this paper. Using the concepts two powerful wavelets, Legendre Chebyshev we convert problem to a static optimization one. The general from by which one can utilize it other wavelets. proposed has ability solve problems...

<p style="text-indent:20px;">This paper investigates the mean-field stochastic linear quadratic optimal control problem of Markov regime switching system (M-MF-SLQ, for short). The representation cost functional M-MF-SLQ is derived using technique operators. It shown that convexity necessary finiteness problem, whereas uniform sufficient open-loop solvability problem. By considering a fam...

The problem of maintaining acceptable performance of a perturbed control system during a disruption of the feedback signal is addressed. The objective is to maximize the time during which performance remains within desirable bounds without feedback, given that the parameters of the controlled system are within a specified neighborhood of their nominal values. The existence of an optimal open-lo...

Recent results on receding horizon control of linear systems with state and input constraints have shown that the optimal receding horizon controller is piecewise affine and continuous, with the resulting value function being piecewise quadratic and continuously differentiable. The purpose of this note is to exploit these results to show that the controller renders the closed-loop system global...

In order to eliminate the factors that restrict the performance of wireless network data transmission, we proposed the optimal control mechanism of wireless network data transmission. The proposed mechanism solves the intelligence problem of the feedback loop, the mobility of relay nodes, and the feedback of the receiving end. On the one hand, to eliminate the external interference factors, we ...

MBPC is a feedback-control methodology suitable to enforce efficiently hard constraints on the variables of the controlled system. It is shown that the method hinges upon a constrained open-loop optimal control problem along with the adoption of the so-called receding-horizon control strategy. In the important case of time-invariant linear saturated ANCBI systems, MBPC algorithms can be devised...

Priced timed automata (PTA) are discrete-event system models with temporal constraints and a cost function used to pose optimal scheduling routing problems. To date, solutions these problems have been found offline executed open loop.This open-loop control strategy makes it impossible account for disturbances, i.e., changes in costs or over time. address this shortcoming, work’s first contribut...

OPTCON is an algorithm for the optimal control of nonlinear stochastic systems which is particularly applicable to econometric models. It delivers approximate numerical solutions to optimum control problems with a quadratic objective function for nonlinear econometric models with additive and multiplicative (parameter) uncertainties. The algorithm was programmed in C# and allows for determinist...

The paper deals with an optimal control problem in a dynamical system described by linear differential equation the Caputo fractional derivative. goal of is to minimize Bolza-type cost functional, which consists two terms: first one evaluates state at fixed terminal time, and second integral evaluation on whole time interval. In order solve this problem, we propose reduce it some auxiliary firs...