The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is prese...

The problem of maximizing the time during which an open loop system can operate without exceeding a specified error bound is considered for linear systems that are subject to uncertainties about their parameters and their initial conditions, and whose operation is hampered by disturbance signals. The objective is to characterize an optimal input signal that keeps performance errors within speci...

The present work is an attempt to design universal regulatorss for nonlinear systems under some minimal informations. It presents a controller which is a gen-eralisation of one proposed previously for the linear case, and based on the knowledge of a nite dimen-sionnal family of controllers one of which is known to be a stabilizing one. 1 Problem statement Consider a control system _ x = f(x; u)...

This paper proposes an algorithm that drives a unicycle type robot to a desired path, including obstacle avoidance capabilities. The path-following control design relies on Lyapunov theory, backstepping techniques and deals explicitly with vehicle dynamics. Furthermore, it overcomes the initial condition constraints present in a number of path-following control strategies described in the liter...

An analysis has been developed to model a rotorcraft with power loss. Partial power recovery to a flyaway condition, partial power landing, and autorotation to landing with a complete power loss are considered. An optimal control procedure is implemented to predict the pilot response to the power loss with the objective of minimizing the horizontal and vertical impact velocities in the case of ...

A method for solving finite-horizon optimal control of nonlinear systems has been developed in this paper and used for an online path planning problem. The new controller synthesis is motivated by the state-dependent Riccati equation (SDRE) technique that was developed for solving regulator and tracking problems. However, finite-time problems need to meet specified boundary conditions for the a...

Numerous approaches to verifying the safety of vehicles in the AHS architecture of PATH have been proposed (see 1] and 2]). One approach involves nding a boundary between safe and unsafe initial conditions. This task is signiicantly easier if we can guarantee that the severity of an accident is monotonic in the initial conditions. Simulation results are presented in which it is shown that this ...

In this paper we consider a guaranteed cost control problem for a class of uncertain discrete-time systems which contain structured uncertainties. The uncertainties are assumed to satisfy a certain sum quadratic constraint. The controller will be a minimax controller in the sense that it minimizes the maximum value of a cost function. For a given initial condition, the minimax optimal controlle...

A LDP is proved for the inviscid shell model of turbulence. As the viscosity coefficient ν converges to 0 and the noise intensity is multiplied by ν , we prove that some shell models of turbulence with a multiplicative stochastic perturbation driven by a H-valued Brownian motion satisfy a LDP in ([0, T],V ) for the topology of uniform convergence on [0, T], but where V is endowed with a topolog...

The analysis of evacuation processes onboard passenger ships has attracted increasing interest over the last years. Especially the introduction of so called performance based requirements as stated in SOLAS II-2/28-1.3 leads towards a more comprehensive assessment. However, for a thorough investigation of the evacuation performance it is not sufficient to look only at the geometry, like hydraul...