In this paper, three neural network based d-step-ahead prediction strategies, i.e. a recursive d-step-ahead neural predictor, a non-recursive d-step-ahead neural predictor, and a Smith type neural predictor are presen...
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In this paper, three neural network based d-step-ahead prediction strategies, i.e. a recursive d-step-ahead neural predictor, a non-recursive d-step-ahead neural predictor, and a Smith type neural predictor are presented for time-delay compensation for nonlinear systems. Both the recursive and the non-recursive predictors have been extended to the case of long-range prediction. Finally, the proposed neural network based predictors are applied to the prediction of the manifold pressure process in an automotive engine. The predictive result of the corresponding first principles model based nonlinear predictor is also illustrated for comparison. The experimental results show that the neural network based predictive methods have obtained better performance.
control of a gas-turbine engine requires management of continuous and discrete (state-event) behaviour. A design environment- the Development Framework, is used to define both the continuous and discrete aspects of a ...
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control of a gas-turbine engine requires management of continuous and discrete (state-event) behaviour. A design environment- the Development Framework, is used to define both the continuous and discrete aspects of a turbine engine controller. The approach uses purpose-built software translation tools to capture the system's specification from commercial simulation tools. A unified design model based on a data flow notation, comprising both continuous and state-event behaviour is automatically generated. Specification and design models of selected gas-turbine engine controller subsystems are presented. The complexity of the application suggests that the approach can be used for industrial scale projects.
We describe the design and testing of longitudinal and lateral controllers for the Bell 205 helicopter. The controllers were designed using H/sub /spl infin// optimization in conjunction with low-order linearization t...
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We describe the design and testing of longitudinal and lateral controllers for the Bell 205 helicopter. The controllers were designed using H/sub /spl infin// optimization in conjunction with low-order linearization taken from a nonlinear flight mechanic model. During flight-tests, decoupled responses were obtained, and desired handling qualities achieved. Tuning the design parameters to bring about desired changes in performance was straight-forward. The bandwidths achieved in flight were close to those predicted by linear analysis.
This paper first provides definitions of state fence diagrams (SFD). SFDs are proposed for use in systems analysis and design of reactive systems, such as sequence control systems. The SFDs introduced in this paper in...
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This paper first provides definitions of state fence diagrams (SFD). SFDs are proposed for use in systems analysis and design of reactive systems, such as sequence control systems. The SFDs introduced in this paper include ordered SFD (OSFD), traced SFD (TSFD), normalized SFD (NSFD), and event-ordered SFD (ESFD). A TSFD represents a state space and a time series. An ESFD easily represents event concurrency. We show that these diagrams can be obtained from an event trace diagram (ETD). This paper also presents master/slave relationships among events in an SFD. Interlock, mutual exclusion, and spurious event problems are discussed by using SFD. These are essential factors for safety design. Furthermore, using SFD, safety design for models of a sequence control system and a railroad crossing are shown.
Embedded systems are computer-based systems which must respond to external stimuli within time scales determined by the external environment. Such systems are required to achieve ever more demanding behavioural. perfo...
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Embedded systems are computer-based systems which must respond to external stimuli within time scales determined by the external environment. Such systems are required to achieve ever more demanding behavioural. performance and safety requirements. Embedded systems are found in applications such as primary flight control, gas-turbine engine control and railway traffic management Often complex embedded systems are distributed, typically to achieve demanding performance or dependability requirements, and must operate within hard real-time constraints. Considerable effort is required to select optimal design solutions and ensure adherence to specified requirements. In embedded systems safety, reliability and response-times are considered as strict constraints on the system design. Achievement of these constraints requires meticulous analysis, typically through the use of specialist modelling and simulation techniques. Integration of knowledge and understanding obtained from disparate detailed models remains a considerable challenge. Ideally, a system which has both continuous dynamics and event-driven parts. would be modelled in one environment, using the most appropriate techniques for each part, and allowing the analysis of the whole system to be carried out simultaneously. The paper presents an integrated approach in order to translate automatically the information manipulated during the different phases of the design: specification. analysis, design and implementation.
Builds on the previous work by the authors (1998) by defining local versions of cross-positivity for vector fields, especially as related to shifted cones. The paper also furthers the development of a stability theory...
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Builds on the previous work by the authors (1998) by defining local versions of cross-positivity for vector fields, especially as related to shifted cones. The paper also furthers the development of a stability theory by introducing preliminary concepts of directed stability. The motivation is to apply this theory to analyzing the control of certain directionally constrained models, such as those found in materials processing.
In computer vision, texture plays an important role. In this work we propose five human perceptual texture features heuristically extracted. Since a modeling can not be obtained from these features, we use a discrimin...
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We give an algorithm for the single-stage maximization criterion to attain multichannel blind deconvolution. This criterion determines the coefficients of equalizers for all channels simultaneously. However, the origi...
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We give an algorithm for the single-stage maximization criterion to attain multichannel blind deconvolution. This criterion determines the coefficients of equalizers for all channels simultaneously. However, the original maximization criterion has many constrains so that it is difficult to directly implement it as a numerical algorithm. By exploiting pre-whitening and lattice representations of paraunitary systems, we can reduce the original maximization problem into a simple constraint-free one and then present a stochastic gradient algorithm.
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