Formal and semi formal design definition
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In Western clothing semi-formal is a grouping the sort of clothes.
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●System decomposition, abstraction, and distribution lead naturally to subproblems that can be addressed using formal methods and tools, such as mathematical modeling, control law synthesis, and control implementation verification. We classify these methods and tools, which rely heavily on mathematical formulations of the underlying problem, and therefore apply only to well-defined scenarios of limited scope, as ``formal.'' They need to be complemented by ``semi-formal'' techniques that address the problem of system integration. Ultimately, control designs for individual components, modal views, levels of abstractions, and autonomous agents need to be integrated and function as a single complex system with multiple hardware (sensors, actuators, processors, networks) and software parts. Most of the cost in system development is currently spent on informal system integration techniques such as testing. The problem is exacerbated by an ever increasing reliance on software, whose functionality and implementation changes over time and whose real-time behavior is difficult to predict. Since a mathematically rigorous, wholistic approach to the design and analysis of a complex system quickly hits the limits of computation, we put forward a set of semi-formal techniques that aid in the integration of formally developed parts. These techniques include architectural principles, and software analysis and simulation tools for integrated control systems.
In this project, we will develop tools for modeling, deriving, and verifying control laws and their computational realization (``formal tools''), as well as tools for integrating, analyzing, and simulating the software that realizes multi-modal, multi-level, distributed control designs (``semi-formal tools''). Special attention will be paid to the interoperability of all tools.●
●System decomposition, abstraction, and distribution lead naturally to subproblems that can be addressed using formal methods and tools, such as mathematical modeling, control law synthesis, and control implementation verification. We classify these methods and tools, which rely heavily on mathematical formulations of the underlying problem, and therefore apply only to well-defined scenarios of limited scope, as ``formal.'' They need to be complemented by ``semi-formal'' techniques that address the problem of system integration. Ultimately, control designs for individual components, modal views, levels of abstractions, and autonomous agents need to be integrated and function as a single complex system with multiple hardware (sensors, actuators, processors, networks) and software parts. Most of the cost in system development is currently spent on informal system integration techniques such as testing. The problem is exacerbated by an ever increasing reliance on software, whose functionality and implementation changes over time and whose real-time behavior is difficult to predict. Since a mathematically rigorous, wholistic approach to the design and analysis of a complex system quickly hits the limits of computation, we put forward a set of semi-formal techniques that aid in the integration of formally developed parts. These techniques include architectural principles, and software analysis and simulation tools for integrated control systems.
In this project, we will develop tools for modeling, deriving, and verifying control laws and their computational realization (``formal tools''), as well as tools for integrating, analyzing, and simulating the software that realizes multi-modal, multi-level, distributed control designs (``semi-formal tools''). Special attention will be paid to the interoperability of all tools.●
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