Trail-Braking (TB) is a common cornering technique used in rally racing to negotiate tight corners at high speeds. It has been shown that TB can be generated as the solution to the minimum time cornering problem, subject to fixed final positioning of the vehicle after the corner, using non-linear programming (NLP). In this work we formulate the optimization problem relaxing the final positionin...

This article describes an optimal control algorithm for a DC motor drive operating as a positioning system. The control algorithm is based on combination of artificial neural network and state space method with variable gain. The positioning system operating under proposed algorithm has demonstrated a transient process close to optimal without overshoot. It has been also shown that the control ...

We consider the problem of efficiently allocating simulation effort to determine which of several simulated systems have mean performance exceeding a known threshold. This determination is known as multiple comparisons with a control. Within a Bayesian formulation, the optimal fully sequential policy for allocating simulation effort is the solution to a dynamic program. We show that this dynami...

Almost all results on competitive product positioning derived in the literature so far are based on the hypothesis that static Nash equilibria of profit-maximizing competitors are accurate predictors of final market configurations. If the positioning behavior of firms differs from this assumption, it is questionable whether the corresponding propositions can be used in optimal product positioni...

Orthogonal function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) are used to solve quadratic finite-horizon optimal controller design problems in both a fuzzy parallel distributed compensation (PDC) controller and a non-PDC controller (linear state feedback controller) for Takagi–Sugeno (TS) fuzzy-model-based control systems for dynamic ship positioning systems (TS-DSPS). Base...