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This paper considers autonomic applications to systems for which continuous perfect monitoring of state is not possible. We use sophisticated exact-state observers to provide enhanced information about the system state. In order that we can achieve optimal configuration of the autonomic controller itself over a wide range of environmental operating conditions, and across a wide range of unique application...
In the current drive towards dynamic self-managing systems, a particular challenge is the development of coherent architectures of context-aware middleware and components. The embedded class of systems brings the additional challenges of resource limitations and difficulty to upgrade deployed code. This paper describes a complete implementation of middleware and component architecture that facilitates...
This paper describes a methodology for deploying flexible dynamic configuration into embedded systems whilst preserving the reliability advantages of static systems. The methodology is based on the concept of decision points (DP) which are strategically placed to achieve fine-grained distribution of self-management logic to meet application-specific requirements. DP logic can be changed easily, and...
This paper describes a highly flexible component architecture, primarily designed for automotive control systems, that supports distributed dynamically- configurable context-aware behaviour. The architecture enforces a separation of design-time and run-time concerns, enabling almost all decisions concerning runtime composition and adaptation to be deferred beyond deployment. Dynamic context management...
In this paper the application of computer cluster in the task of computation of an exact integral state observer is presented. Selected problems connected with the implementation of parallel computing in the real time control systems are discussed. The paper focuses most of all on the potential advantages of such approach in the context of improvement of the control algorithm performance
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