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The temperature distribution in the curing oven is a typical distributed parameter system (DPS). Modeling of this kind of system is very difficult as only few sensors are available inside. Besides, thermal behaviors of the oven are time-varying in the directions of space and time. In this paper, an adaptive spatiotemporal modeling method is designed for the curing thermal process. Time-varying spatial...
If no external control is employed, the cure performance will be fully dependent on the oven design. Design of such a system is challenging because of its inherent complexity: complex heat transfer, unknown relationship between design variable and curing performance, unknown boundary conditions and large parameter variation, and so on. In this paper, a novel data-based robust design approach is proposed...
In this paper, fuzzy control is proposed to control one kind of nonlinear curing process. The nonlinear curing process is firstly approximately modeled by the T-S fuzzy model, upon which fuzzy control is designed to guarantee the process stability and achieve the Hinfin tracking performance. Finally, the proposed method is applied to control the temperature profile of a practical curing process.
An internal model based neural network control is proposed for unknown multi-input multi-output (MIMO) nonlinear processes in non-affine discrete-time state space form under model mismatch and disturbances. Based on the neural state space model built for an unknown nonlinear MIMO state space process, an approximate internal model and approximate decoupling controllers are derived simultaneously. Thus,...
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