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In this work, a novel model free adaptive control method based on a mathematical algorithm named double successive projection (DSP-MFAC) is proposed, from which it can be inferred that conventional MFAC algorithm is only a special case of DSP-MFAC with the Cartesian product of the output and the input Hilbert space. For a general unknown nonlinear system, an innovative partial form dynamic linearization...
In this work, a novel cascade model free adaptive control method (MFAC) with an intelligent PID (i-PID) algorithm is proposed for the attitude adjustment of a multi-input multi-output (MIMO) quadrotor aircraft. Since the quadrotor system may be open-loop unstable, it is first stabilized using i-PID controllers to ensure its controllability. Then the closed-loop quadrotor system controlled via i-PID...
An enhanced genetic BP neural network with link switches (EGA-VRBPNN) is proposed in this work to address the data-driven modeling problem for the gasification process inside a UGI gasifier. During gasification processes, the online measured gas temperature is crucial but difficult to model its' dynamics via first principles because of the tremendous complexity of the gasification process, which is...
An enhanced lazy learning approach incorporated with relevance vector machine (ELL-RVM) is proposed for modeling of the fixed-bed intermittent gasification processes inside UGI gasifiers. The online measured temperature of produced crude gas plays a dominant role during gasification processes. However, it is difficult to formulate the dynamics of gasifier's temperature via first principles due to...
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