MINIMUM-LEARNING-PARAMETER-BASED FAULT-TOLERANT CONTROL FOR SPACECRAFT RENDEZVOUS WITH UNKNOWN INERTIAL PARAMETERS

Minimum-Learning-Parameter-Based Fault-Tolerant Control for Spacecraft Rendezvous With Unknown Inertial Parameters

In this paper, robust control strategies are explored to solve the problem of rendezvous maneuver for rigid spacecraft exposed to the external disturbance, actuator faults and unknown inertial parameters.To pursue the control objective, two adaptive controllers are constructed via the sliding mode control (SMC) technology.Firstly, a basic control s

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Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance

Abstract In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging.We reformulate Propellers and generalize two binary linear programming models that tackle this challenge, demonstrating their practicality by apply

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