“…ASV have been applied in many aspects, such as water quality monitoring [5], risk assessment [6] and network centric operations [7]. There are also some papers on modeling, control and estimation of ASV and autonomous unmanned vehicle [8], for example tracking control using neural network approach [9], adaptive dynamic surface control [10], path following [11], obstacle detection and avoidance [12,13], target tracking [14], stability analysis [1], estimation using square root ensemble Kalman filter [2,15], Proportional Integral Derivative (PID) control design [16], control design using Sliding Mode Control (SMC) [17][18][19], sliding PID control design [20,21], using Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for Optimizing PID Parameters on Autonomous Underwater Vehicle (AUV) [22], estimation using ensemble Kalman filter [23,24] and estimation using fuzzy Kalman filter [25].…”