This paper illustrates the main results achieved in the context of a project, financed by the Italian Space Agency, concerning the modelling and control of next generation small conventional space launchers. The first part of the paper describes the mathematical translational model of the launcher. Then the derivation of the optimal trajectory to be tracked by the launcher will be illustrated. ...

A systematic synthesis approach to the simultaneous stabilisation problem (SSP) and the strong simultaneous stabilisation problem (SSSP) with D stability is presented in this paper. The SSPs and SSSPs are respectively converted into a standard, computationally tractable feasibility problem for a set of equalities and inequalities (SEI) which can be solved using an available numerical algorithm ...

Since information in engineering design problems can be both quantitative (Q T ) and qualitative (Q L ) in nature, combining both types of information can result in more realistic solution for real world optimisation problems. However, most of the approaches reported in literature are incapable of conducting optimisation search in such mixed environment. Therefore this paper proposes a mathemat...

The paper presents an application of neural networks to control braking torques on wheels of an articulated vehicle in an untripped rollover manoeuvre. The numerical model of the articulated vehicle and dynamic optimisation were used to calculate appropriate braking torques for each wheel in order to restore stability. The optimisation problem requires the equations of motion to be integrated a...

In order to properly operate an autonomous vehicle navigation system, it is important that the vehicle and sensor models of an autonomous vehicle are defined by an accurate parameter set. This paper presents a technique for identifying parameters of an autonomous vehicle using multi-objective optimisation, which enables the identification process without introducing additional parameters. A mul...

This paper describes a new Evolutionary Programming optimisation algorithm and a method of its application to multi-objective optimisation problems. Computational results are presented demonstrating the algorithm’s ability to find Paretooptimal solutions for a real-world problem in radiofrequency component design.

The paper deals with two types of optimisation problem: optimised source distribution and the shape optimum design, using continuum design sensitivity analysis (CDSA) in combination with standard electromagnetic (EM) software. Fast convergence and compatibility with existing EM software are the distinctive features of the proposed implementation. To verify the advantages and also to facilitate ...

Several recent proposed techniques for multiobjective optimisation use the dominance relation to establish preference among solutions. In this paper, the Pareto archived evolutionary strategy and a population-based annealing algorithm are applied to test instances of a highly constrained combinatorial optimisation problem: academic space allocation. It is shown that the performance of both algo...

Wemotivate, derive and implement a multilevel approach to the graph colouring problem. The resulting algorithm progressively coarsens the problem, initialises a colouring and then employs either Culberson’s iterated greedy algorithm or tabu search to refine the solution on each of the coarsened problems in reverse order. Tests on a large suite of problem instances indicate that for low-density ...

This paper considers an optimisation problem encountered in the implementation of traffic policies on network routers, namely the ordering of rules in an access control list to minimise or reduce processing time and hence packet latency. The problem is formulated as an objective function with constraints and shown to be NP-complete by translation to a known problem. Exact and heuristic solution...