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Terminal iterative learning control (TILC) has been developed to track a single desired point at the terminal end of operation interval over iterations. In this paper, the feedback control knowledge of previous time instants is utilized via an equivalent dynamical predictive model to update the input signals for the TILC problem. The proposed scheme consists of a control input updating law with feedback...
This paper presents a new data-driven optimal terminal iterative learning control (TILC) using time-varying control input signals to enhance control performance. The iterative learning control input is updated using the terminal output in previous runs, together with the control input information in previous runs and previous time instants of the current run, without the need of any reference trajectory...
The reliable and accurate identification of cancer categories is crucial to a successful diagnosis and a proper treatment of the disease. In most existing work, samples of gene expression data are treated as one-dimensional signals, and are analyzed by means of some statistical signal processing techniques or intelligent computation algorithms. In this paper, from an image-processing viewpoint, a...
This paper presents the flight path angle tracking control of the longitudinal dynamics of a generic hypersonic flight vehicle(HFV). Due to the use of digital computers and microprocessors for controls applications, the discrete hypersonic flight control is investigated. The altitude command is transformed into the flight path angle information. The back-stepping scheme is applied for the attitude...
A hybrid system is a complex system which consists of continuous and discrete dynamics, and it displays discrete behaviors, in addition to continuous behaviors. Due to mode changes in a hybrid system, the employment of constant threshold will cause false alarm or missed detection. The cause is that mode changes lead to different composition of component uncertainties. In this paper, in view of component...
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