In this note, the infinite horizon optimal output tracking control problem for two-time-scale systems is investigated. the problem is transformed into an optimal regulator problem of the augmented system which is cons...
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For a class of discrete-time nonlinear systems with disturbances, a data-driven discrete-time fractional-order terminal sliding mode control (DD-DFOTSMC) method is proposed in this paper. the algorithm is based on the...
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In this paper, a new output synthetic method is proposed for a class of nonlinear non-minimum phase systems based on output redefinition. the thought of pole assignment is applied to the determination of new output, s...
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In iterative learningcontrol (ILC) strategy, to achieve the perfect tracking in a fixed time interval, a common assumption is that the iteration interval in each repetitive operation should be fixed. An iterative lea...
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In recent years, the queuing equilibrium research based on traditional detector data is limited by the influence of data loss, resulting in inaccurate arrival rate and dissipation rate of the obtained vehicles. Based ...
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this note considers the formation control of heterogeneous multi-agent systems with time delay, in which all agents are divided into a leader and followers. Here, the output regulation method is employed such that fol...
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this paper proposes an adaptive tracking control scheme for voltage-driven robotic manipulators with output constraints to achieve satisfactory tracking performance. To overcome the design difficulty from output const...
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this paper focuses on proportional derivative observer design for a class of Takagi-Sugeno fuzzy singular systems. According to the available knowledge on premise variables, first, observer design with known premise v...
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Faced withthe problem of heavy network transmission burden, the issue of data quantization for a class of nonlinear single input and single output (SISO) systems is discussed in this paper. An approach based on data ...
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the data-driven optimal tracking controls (OTC) for the unknown multi-input system are proposed in this paper, and a novel tuning law is used to update NN weights in the learning scheme. First, the formula of the OTC ...
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