A GPS controlled autonomous vehicle is presented which employs a Parallax GPS Receiver Module to capture the GPS signal and determine the current location of the vehicle. The system is controlled using an Arduino Mega 2560 microcontroller which interfaces to a keypad, LCD, a magnetic compass sensor and Parallax continuous rotation servo motors....

System identification in nonstationary environment represents a challenging problem and an advaned neural architecture namely Time-Varying Neural Net- works (TV-NN) has shown remarkable identification properties in nonlinear and nonstationary conditions....

\"Linear and Nonlinear Programming\" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights....