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This paper is concerned with the disturbance estimation and state recovery of autonomous surface vehicles in the presence of uncertainty and unmeasured surge, sway, and yaw velocities by using the position-yaw measurements only. The uncertainty stems from parametric model uncertainty, unmodelled hydrodynamics, and external disturbance, which are induced by wind, waves and ocean currents. By using...
This paper considers coordinated path following of multiple underactuated unmanned surface vehicles (USVs) subject to dynamical uncertainties and limited control torques. The objective is to achieve a symmetric formation pattern over a closed curve. Adaptive coordinated path following controllers are developed by combing a parameter cyclic pursuit approach, a line-of-sight guidance principle, and...
This paper investigates the leader-follower problem in the presence of potential actuator faults. We focus on continuous-time multi-agent uncertain systems with a directed network topology. Time-varying fault parameters are considered, which relax the assumption in the prior work that the fault parameters of all followers must be fixed. We assume that these parameters can be sampled in an intermittent...
This paper addresses adaptive synchronization control problem of networked robot systems characterized by Lagrangian function, where exact dynamic models are unknown and velocity measurements are unavailable. A class of distributed observers, comprised of multiple dynamic variables and static variables, are established based on not imposing a priori restriction on the boundness of the observer states...
This paper addresses the event-triggered consensus tracking for general linear multi-agent systems with nonlinear uncertainty dynamics under directed communication topology. The proposed event-triggered consensus strategy relaxes the assumptions in existing works that the control gain and local inputs must be continuous. With the consensus tracking condition being satisfied, the cooperative control...
Technological renovation project is one kind of expanded reproduction within the electrical grid enterprises to achieve technological progress. The success of a technological renovation project, to a great extent, depends on the effective evaluation and selection of alternatives in the earlier stage. However, both certain and uncertain attributes are included in the assessment of alternatives, which...
In trustable networks, the process that nodes submit service satisfaction degree to form reputation of service provider has uncertainties of fuzziness and randomness. A cloud theory based model is proposed for the computation of node reputation. Weights of service satisfaction degrees in the model include an attenuation coefficient part and a certainty degree part. The certainty degree part is obtained...
The process of human's blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual human's blink. Eyes' maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm...
An entropy gain based overall trust degree (OTD) computation model is proposed for large scale trusted networks. To overcome subjectivity in trust decision, attributes' entropies and their gains are adopted to set attribute weights in the OTD fusion model. Attribute weights are dynamically adjusted by refreshing sample set and attribute entropy gains, to adapt to variations of network entities. Under...
Current DTD (Direct Trust Degree) model for trusted networks cannot keep sensitive to variations of interaction results between nodes. To describe the direct trust relationship scientifically, a sensitive DTD model is proposed. It includes a stable part and a sensitive part. The stable part uses a window to obtain DTD from many history direct interaction proofs. To describe the attenuation feature...
Today technology innovation and fashion innovation are shortening the product life cycle, and result in demand uncertainty in supply chain. Under the environment of contact manufacturing (CM), a supply chain flexibility model is presented to describe in the relationship among capacity, lead time and inventory and the effective way to deal with demand uncertainty and mitigate the inventory risk through...
Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems. The purpose of prognosis is to predict the remaining useful life of a system/subsystem or a component when a fault is detected. Although different prognostic algorithms have...
The concept of Dataspace was proposed as a new data management paradigm to help unify the diverse efforts on flexible schema, data cleaning, and data integration being pursued by the database community. The heart of Dataspace is “pay-as-you-go” philosophy, which provides Best-Efforts service and brings more convenience to data management. To elevate the service quality, extracting the matching between...
In this paper, a dual-mode structure repetitive control (DMRC) is proposed to further improve the control performance of RC. Without additional complexity and loss of tracking accuracy, DMRC can achieve faster error convergence rate than conventional RC does. In the presence of nonlinear load disturbances and parameter uncertainties, an application example of DMRC controlled single-phase PWM inverter...
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