This paper details a Fuzzy-Feedback Linearisation controller applied to a non-linear missile The design uses an evolutionary algorithm optimisation approach to a multiple model description of the airframe aerodynamics A set of convex models is produced that map the vertex points in a high order parameter space (of the order of 16 variables) These are used to determine the membership function distribution within the outer loop control system by using a multi-objective evolutionary algorithm This produces a design that meets objectives related to closed loop performance such as: steady state error, overshoot, settling and rising time The evolutionary algorithm uses non-dominated sorting for forming a Pareto front of possible solutions This paper shows that fuzzy controllers can be produced for engineering problems, with the multiobjective algorithm allowing the designer the freedom to choose solutions and investigate the properties of the system

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Fuzzy autopilot design using a multiobjective evolutionary algorithm

The paper details a Fuzzy-Feedback Linearisation controller applied to a non-linear missile. The design uses an evolutionary algorithm optimisation approach to a multiple model description of the airframe aerodynamics. A set of convex models is produced that map the vertex points in a high order parameter space (of the order of 16 variables). These are used to determine the membership function distribution within the outer loop control system by using a multi-objective evolutionary algorithm. This produces a design that meets objectives related to closed loop performance such as: rising time, steady state error and overshoot.

Design of robust fuzzy controllers for aerospace applications

: This paper reports on the use of Q-analysis to study the degree of inter-ethnic linkages among the Serbs, Croats, and Muslims in Bosnia-Herzegovina as reflected in the results of public opinion poll data provided by the United States Information Agency (USIA). The degree of inter-group linkage is specified in terms of a property known as the Q-connectivity. Changes in this property reflect changes in the degree of mutual concurrence with specific sets of public opinion poll data. The study uses the Q-analytic approach to examine the degree of linkage and division among these ethnic groups in Bosnia-Herzegovina during the period from December 1995 to February 1998. Two clusters of poll data were used in the study. The first cluster, the Ethnic Relations Data Set, reflects answers to questions about each group's attitudes toward, and relationship with, the other ethnic groups; whether they can forget the past and live peacefully together; and their confidence level in the local government, police, and courts. Q-analysis of this data set shows that the groups have confidence in the local government, the police, and the courts, and a need to forget the injustices of the past. However, they also have generally unfavorable opinions of their counterparts, pessimism about peaceful coexistence, and fear of living as an ethnic minority. The second cluster, the International Relations Data Set, reflects the opinions of these groups on the Dayton Peace Accords, the status of the country and its government, the presence of peacekeeping troops, and fear that fighting will start again. Q-analysis of this data set shows a relatively high level of agreement with the Dayton Peace Accords, the belief that the Accords are better than continued war, and acceptance of peacekeeping troops, but also fear that fighting might break out again.

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P. W. J. Ledington

Papers

Short report: Creating an information management perspective: The experience at the Royal Military College of Science