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This paper presents a comparative study of three control approaches; fuzzy proportional and derivative control with increment (PD+I) controller of both Mamdani and Takagi-Sugeno (TS) inference system and sliding mode control (SMC). It presents the implementation of both intelligent and nonlinear control in a highly open loop unstable nonlinear system. Instead of fuzzy PID controller, PD+I controller...
We present a novel predictive statistical framework to improve the performance of an eigen tracker which uses fast and efficient eigen space updates to learn new views of the object being tracked on the fly using candid co-variance free incremental PCA. The proposed system detects and tracks an object in the scene by learning the appearance model of the object online motivated by non-traditional uniform...
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require explicit 2D or 3D models of objects and hence is general enough to satisfy the need for varying types of objects in the scene. The proposed system detects and tracks an object in the...
In this paper, a simple neuron-based adaptive controller for trajectory tracking is developed for nonholonomic mobile robots without velocity measurements. The controller is based on structural knowledge of the dynamics of the robot and the odometric calculation of robot position only. The wheel actuator dynamics is also taken into account. An approximation network approximates a nonlinear function...
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