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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Distributed Safe Consensus Under Asymmetric Input and Time-Varying Output Constraints

    Researchers have developed a new method for achieving safe distributed consensus in multi-agent systems. This approach addresses challenges posed by asymmetric actuator constraints and time-varying output safety requirements. By employing a barrier-coordinate transformation and a distributed synchronization law, the system ensures that agent inputs remain within admissible bounds and outputs stay within safe intervals. AI

  2. Terminal Time and Angle-Constrained Nonlinear Intercept Guidance

    Researchers have developed a novel guidance law for interceptors that simultaneously controls impact time and angle. This approach uses a hierarchical sliding mode architecture to manage the underactuated nonlinear engagement kinematics. The method has been simulated and shown effective for intercepting both stationary and constant velocity targets. AI