But are predefined decoy sets able to unambiguously evaluate and rank different scoring functions with respect to pose prediction performance? This question arose when the pose prediction performance of our piecewise linear potential derived scoring functions (Korb et al. in J Chem Inf Model 49:84鈥...
FIG. 2 is presented to illustrate one technique for tracking computing resource usage by functions of the CPUT. As such, FIG. 2 is not intended to limit the present invention. It should be appreciated that other data structures beyond the stack frame tracking structure implementation disclosed he...
Also shown are the number of filter coefficients (Nf), used in computing the DWT and the number of coefficients (Ncoef) in each of the bands for the respective (m, q, j0) settings. Perfect classification results are obtained for the seagrass data. The next best performance was with the ...
Therefore, this paper adopts the hyperbolic tangent function to approximate control saturation constraint, and adopts the mean value theorem to convert the nonlinear constraint of control input into the control input offline functions simplify controller design. Based on the above analysis for the actual...
Furthermore, many finite or fixed-time control methods based on sign functions or fractional power state feedback cannot guarantee convergence within a specified time range due to their strong dependence on initial conditions, algorithm parameters, or system characteristics. This dependency may lead to...
Predefined-time stability contributes to constraining the tracking time of robotic manipulators, but the stringent judgment conditions restrict its practical application. This paper studies an adaptive practical predefined-time neural control scheme for uncertain multi-joint robotic manipulators with input satur...
Motivated by the status of the above study, a predefined-time self-structuring neural network H∞ cooperative controller with self-adjusting performance functions and quantization techniques is proposed for multirobot systems. The designed controller can ensure predefined-time stabilization of multirobot sy...
The Lemke-Howson method is utilized to compute the best-response policies for the stage game defined by the current Q-functions at each time step. Subsequently, we explore a more challenging scenario where RMs are unavailable and propose Multi-Agent Reinforcement learning with Concurrent High-level...
NNs are commonly employed to approximate unknown nonlinear functions, as they only require relatively limited system information [34], [35], [36]. Among various types of NNs, the application of the radial basis function NN (RBFNN) is quite popular, such as model predictive control [37] and ...
These elements are in communication with a central processing unit (CPU) to enable operation of the computing device. In various embodiments, the computing device may be a conventional standalone computer or alternatively, the functions of the computing device may be distributed across multiple ...