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The purpose of the problem addressed is to design a recursive filter such that there exists an upper bound for the filtering error covariance.
The main purpose of the problem addressed is to design a linear estimator to approximate the true concentrations of the mRNA and protein through available measurement outputs.
The purpose of the problem under investigation is to propose a robust hierarchical game method with the targets of enhancing the robustness of two-tier network systems and maximizing the utilities of all users.
The purpose of the problem under consideration is to design both the output feedback controller and the threshold of the triggering condition such that the closed-loop system achieves the desired consensus in probability.
The purpose of the problem addressed is to design a time-varying filter such that both the H∞ performance and the desired envelope constraints are achieved at each time step.
The purpose of the problem under investigation is to design a controller such that the closed-loop system achieves the expected H2 performance requirements with a guaranteed H∞ disturbance attenuation level.
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An adaptive expert can do this as well, but also has an understanding of the meaning and purpose of the problem-solving strategy.
In this paper, an adequate set of input features is selected for functional expansion genetically for the purpose of solving the problem of classification in data mining using functional link neural network.
In this paper, we present a game-theoretic approach for the purpose of deriving the problem of joint beamforming and power control in cognitive radio (CR) multiple-input multiple-output (MIMO) broadcast channels (CR MIMO-BCs), where the primary users (PUs) coexist with the secondary users (SUs) and they share the same spectrum.
The purpose of this problem is to design a full-order filter such that the dynamics of the estimation error is guaranteed to be stochastically exponentially ultimately bounded in the mean square.
The purpose of this problem is to design a state feedback controller such that the closed-loop system is exponentially stable (or exponentially ultimately bounded) in the mean square, for all admissible nonlinearities and time-delays.
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