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This paper addresses the problem of designing an efficient platform for pairs-trading implementation in real time.
Finally, implementation in real time is performed and the first experimental results are presented to validate the proposed control.
Then the developed self-active KL GP model is extended to include adaptation and on-line implementation in real time.
However, the design of centralized controllers for MIMO large-scale systems is complex due to the high dimensionality and difficulty of implementation in real time.
This chapter describes the implementation processes involved, use of tools and setup, constraint files along with a tutorial that explains on performing implementation in real time.
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Some current applications of Ptolemy include networking and transport, call-processing and signaling software, embedded microcontrollers, signal processing (including implementation in real-time real-time), scheduling of parallel digital signal processors, board-level hardware timing simulation, and combinations of these.
Although promising, their high computational cost often prevents their implementation in real-time applications.
Also converting the curves into strings ensures lightweight computation, and hence viable for implementation in real-time systems.
Further study is needed to assess its implementation in real-time and whether it improves patient outcomes.
These results show that the performance of the proposed method may be considered sufficient to allow its implementation in real-time applications.
Furthermore, it is outlined that the chosen structure of the estimation scheme allows for a very efficient implementation in real-time hardware.
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