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The problem of regulating an uncertain and/or time-varying linear discrete-time system with state and control constraints to the origin is addressed. It is shown that feasibility and a robustly asymptotically stable closed loop can be achieved using an interpolation technique. The design method can be seen as an alternative to optimization-based control schemes such as Robust Model Predictive Control...
In this paper, we address the problem of multi-instance multi-label learning (MIML) where each example is associated with not only multiple instances but also multiple class labels. In our novel approach, given an MIML example, each instance in the example is only associated with a single label and the label set of the example is the aggregation of all instance labels. Many real-world tasks such as...
This paper deals with the optimal control problem for a distributed parameter system with time delay (DPSTD). The system is applied to control a thermal process. The target of problem is to minimize the error between distribution of real temperature and that of desired temperature in a given period of time. By replacing the minimization of a cost function with that of a multivariable function, the...
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