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This demand has sparked the interest in symbolic control where lower complexity models of control systems are used to cater for complex specifications given by temporal logics, regular languages, or automata.
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It failed for several reasons: premature and complex specifications, inadequate first implementations which may have deterred early adopters, and lack of incorporation of technical progress into the standard.
These results are helpful for summarizing overall outcomes, before proceeding to more complex specifications.
In contrast to other model reduction methods which can be found in literature, this integral approximation technique can be applied for arbitrarily complex phenomena specifications.
However, for complex processes, the manual specification of the appropriate intervention processes at design time can be particularly time-consuming and error-prone, while it is difficult to ensure that all important intervention cases are taken into account.
For complex models where exhaustive specification of parameter estimates is not feasible, authors should provide software implementations of the risk prediction algorithm (see item 24).
The block short-cut method can be used for complex columns and non-standard problem specifications.
With such differing protocols, effective comparison between trials becomes problematic, and quality assurance of specific radiotherapy techniques difficult, particularly for the more complex planning specifications.
The control of plasma parameters in magnetron-like plasmas opens new possibilities for complex treatments associating successive processes with extreme plasma specifications.
Since no error-free method to specify priors is available for complex biological phenomena, exploring a wide variety of prior specifications and combining results provides some solution to this problem.
Operation procedure engineering for complex and critical systems aims to provide action sequences satisfying safety requirements specifications.
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