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In this technical note, an additive-state-decomposition-based iterative learning control (ILC) method is proposed. Based on this method, the output feedback ILC problem is solved for a class of nonminimum phase (NMP) nonlinear systems with input saturation. This method is to “additively” decompose the output feedback ILC problem into two more tractable subproblems, namely an output feedback ILC problem...
For nonlinear differential-algebraic equations system which satisfies linear growth condition and is of index one, this paper shows that there exists an appropriate sampling period such that the problem of sampled-data output feedback stabilization control can be solved. A linear explicit non-initialized observer is proposed, which means that the initial states of the observer are not necessarily...
A variety of problems arising in communication networks, computer networks, automated manufacturing plants, etc. can be described by min-max-plus system models. Output feedback stabilization for the nonlinear, non-autonomous minmax-plus system (F, G, H) is studied in this paper. A new coloring graph structure is presented based on the new, complex conditions. The former research on new circuits of...
This paper considers the linear quadratic problem with static output feedback. It is shown that an optimal solution can be successfully computed by finding the limiting solution of an ordinary differential equation which is given in terms of the gradient flow associated with the cost function. Several properties are obtained concerning the gradient flow. For example, it is shown that the flow contains...
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