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This paper proposes an enhanced integral imaging system with an electrically controllable image plane to address the issue of the limited depth problem in integral imaging. For implementation of the variable image plane, a varifocal liquid lens array and driving device are adopted instead of an ordinary solid lens array. The position of the central depth plane is varied by adjusting the focal length of the lens array. The proposed system enables matching between the object position and depth plane electrically, and thus an object moving from 5.15 to 11.72 cm is clearly displayed with this method.

This paper considers the synchronization problem of the bidirectionally coupled unified chaotic system. Many previous works require the assumption that the states of the system are bounded and their range are known. This assumption may not hold for arbitrary controllers, and thus, it is not suitable to make this assumption beforehand. Accordingly, we propose the novel control method for bidirectionally coupled unified chaotic system via sum of squares method without this assumption. Numerical simulations show the validity and advantage of the proposed method.

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This paper proposes the polynomial fuzzy modeling and tracking control methods for wheeled mobile robots by using sum of squares (SOS) approach, which is developed as SOSTOOL under the Matlab environment. Due to the polynomial fuzzy modeling, we can obtain the linearized tracking error dynamics such that both LMI (Linear Matrix Inequality) and SOS approaches can be applied. Since SOS approach handles more nonlinear system characteristics than LMI, we can obtain the better tracking performance, which is demonstrated in the numerical simulations. The proposed method has advantages in that the control structure can be simplified and it can be further extended to accommodate the input saturation, disturbance compensation, etc., which is well developed for LMI control methods.