In this paper, we propose a novel technique to decompose networked systems with cyclic structure into nonlinear modes and apply these ideas to a system of connected vehicles. We perform linear and nonlinear transformations that exploit the network structure and lead to nonlinear modal equations that are decoupled. Each mode can be obtained by solving a small set of algebraic equations without d...

Colorizing a grayscale image is inherently an ill-posed problem with multi-modal uncertainty. Language-based colorization offers natural way of interaction to reduce such uncertainty via user-provided caption. However, the color-object coupling and mismatch issues make mapping from word color difficult. In this paper, we propose L-CoDe, Colorization network using Decoupled conditions. A predict...

The paper presented the trajectory performance of Modal Space Decoupled Controller (MSDC) and conventional joint space controller. Phase retarding amplitude fading were chosen to evaluate how well modal decoupling controller can follow a trajectory. responses sinusoidal inputs along six directions surge, sway, heave, roll, pitch, yaw given. result indicates that has better tracking when compare...

Decoupled State Space Search is a recent approach to exploiting problem structure in classical planning. The particular structure needed is a star topology, with a single center component interacting with multiple leaf components. All interaction of the leaves with the rest of the problem has to be via the center. Given this kind of problem decomposition, we have showed that search on this refo...

This paper addresses the model reduction and simulation of a damped Euler–Bernoulli–von Kármán pinned beam excited by distributed force. nonlinear problem is formulated as PDE reformulated well-posed state-space system. The order are derived combining two approaches: Volterra series expansion truncation pseudo-modal defined from eigenbasis linearized problem. interest this approach lies in larg...

Block-oriented models are often used to model a nonlinear system. This paper presents an identification method for parallel Wiener-Hammerstein systems, where the obtained model has a decoupled static nonlinear block. This decoupled nature makes the interpretation of the obtained model more easy. First a coupled parallel Wiener-Hammerstein model is estimated. Next, the static nonlinearity is dec...

The researcher measured the least number of frequency response functions required for the identification of modal parameters, in order to simplify the identification of modal properties of such systems. In this work, the orbital machines are supposed to be a combination of orbital and non-orbital components. Structural Approach specified the identification of dynamic properties only to those ph...

Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics. The predominant algorithms for coordinating teams of robots are decoupled and prioritized, thereby avoiding combinatorially hard planning problems typically faced by centralized approaches. In this paper we present a method for finding solvable priority schemes for such prioritized and decoupled pl...