High integration of multi-functional instruments raises a critical issue in temperature\ncontrol that is challenging due to its spatialââ?¬â??temporal complexity. This paper presents a multi-input\nmulti-output (MIMO) self-tuning temperature sensing and control system for efficiently modulating\nthe temperature environment within a multi-module instrument. The smart system ensures that the\ninternal temperature of the instrument converges to a target without the need of a system model, thus\nmaking the control robust. The system consists of a fully-connected proportionalââ?¬â??integralââ?¬â??derivative\n(PID) neural network (FCPIDNN) and an on-line self-tuning module. The experimental results show\nthat the presented system can effectively control the internal temperature under various mission\nscenarios, in particular, it is able to self-reconfigure upon actuator failure. The system provides a\nnew scheme for a complex and time-variant MIMO control system which can be widely applied for\nthe distributed measurement and control of the environment in instruments, integration electronics,\nand house constructions.
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