This paper describes a novel approach to the design of a control system for an aircraft gas turbine engine. A multi-level multiobjective genetic algorithm is employed to design controllers at both individual operating points using system linearisations and small signal response characteristics, and over the full-flight envelope using a nonlinear model and large signal responses. The proposed approach should allow the selection of smoother controller parameters over the flight envelope and ensure that more consistent control demands are made at off-design operating point
The use of an evolutionary algorithm in the framework of H∞ control theory is being considered as a ...
This paper describes a stochastic approach for comprehensive diagnostics and validation of control s...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
This paper describes a novel approach to the problem of control mode analysis for advanced concept g...
This paper describes an approach to the systems integration problem using multiobjective genetic alg...
This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on m...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
The control configuration design problem is to find appropriate sets of closed - and/or open-loop co...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
A multi-stage design approach that uses a multiobjective genetic algorithm as the framework for opti...
Abstrac t- This paper discusses the application of a genetic algorithm to control system design for ...
A design procedure for a flight control system is here presented. An optimisation process, based on ...
The aim of this work is to demonstrate the capabilities of evolutionary methods in the design of rob...
The use of an evolutionary algorithm in the framework of H1 control theory is being considered as a ...
The use of an evolutionary algorithm in the framework of H∞ control theory is being considered as a ...
This paper describes a stochastic approach for comprehensive diagnostics and validation of control s...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
This paper describes a novel approach to the problem of control mode analysis for advanced concept g...
This paper describes an approach to the systems integration problem using multiobjective genetic alg...
This paper describes the design of a fuzzy logic controller for a gas turbine aero-engine based on m...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
The control configuration design problem is to find appropriate sets of closed - and/or open-loop co...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
A multi-stage design approach that uses a multiobjective genetic algorithm as the framework for opti...
Abstrac t- This paper discusses the application of a genetic algorithm to control system design for ...
A design procedure for a flight control system is here presented. An optimisation process, based on ...
The aim of this work is to demonstrate the capabilities of evolutionary methods in the design of rob...
The use of an evolutionary algorithm in the framework of H1 control theory is being considered as a ...
The use of an evolutionary algorithm in the framework of H∞ control theory is being considered as a ...
This paper describes a stochastic approach for comprehensive diagnostics and validation of control s...
Abstract: This paper focuses on multi-objective optimisation of staged combustion control for aviati...