The paper, titled Stochastic neural simulation relations for control transfer, was authored by PhD student Alireza Nadali with associate professors Majid Zamani and Ashutosh Trivedi. Traditionally, ...

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs) ...

Overall, the BioStructNet framework with transfer learning approaches, with its ability to capture local protein–ligand interaction patterns by the BCN interaction module, shows robust performance ...

Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying ...

MATLAB functions to evaluate the transfer function for particle mass analyzers, including the centrifugal particle mass analyzer (CPMA) and aerosol particle mass analyzer (APM).

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The practicality of the transfer function method in the design of thermal control of external space devices is evidenced by comparing the computational results with those of commercial software and ...

Initial Control Flow GraphInitial Control Flow Graph To determine the initial control flow graph for a function, we first decode all possible instructions between the function's start and end ...