Abstract: Setting analog cellular computers based on cellular neural networks systems (CNNs) to change the way analog signals are processed is a revolutionary idea and a proof as well of the high ...
Abstract: This paper presents a finite-time tracking control for PDE-ODE coupled systems with dead-zone input and actuator failures. To begin with, a novel finite ...
The course begins with an overview of classes of ordinary and partial differential equations (ODEs & PDEs) that are solved by exact methods. Fourier methods for solving linear DEs are extended to ...
The goal of this project is to model and simulate the kinetics of antibody-antigen binding in a flow chamber using a combination of traditional numerical schemes and modern machine learning techniques ...