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Against the variation of plant and the disturbances in the iteration domain, an adaptive iterative learning control strategy in the iteration domain for discrete repetitive processes with non-repetitiveness is proposed. The parameter estimation method and adaptive inverse control scheme are applied. To reduce the adverse impact that made by uncertainty or unknown of plant and eliminate the non-repetitive...
In industry the line dispensing system has been widely used to squeeze the adhesive fluid in a syringe onto boards or substrates with the pressurized air. For consistent dispensing, it is vital to have a robust dispensing system insensitive to operation condition variation. To address this issue, much research effort has been done. However, a systematic design approach to determine an optimal operation...
This paper is concerned with the problems of positive real analysis and control synthesis for discrete-time systems. New linear matrix inequality (LMI) characterizations of positive realness are derived, which enable one to check the positive realness by using parameter-dependent Lyapunov function. The relationship between the proposed characterizations and the existing ones are clarified, which shows...
This paper is concerned with the problems of H∞ static output feedback (SOF) control synthesis for discrete-time systems. New linear matrix inequality (LMI) characterizations are derived, which enable one SOF controller by using parameter-dependent Lyapunov function. The relationship between the proposed methods include and the existing ones are clarified, which shows that our new results include...
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