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Showing 1 to 4 of 4 for “"Information theory and control"”.

  1. Optimal sensor scheduling and remote estimation over an additive noise channel

    … to measure the state of the system of interest and send their measurements to a remote decision unit via wireless communication. Based on the messages received from the sensors, the decision unit estimates the state of the system and makes decisions. In this scenario, the quality of decision …

    uiuc Repository record for Optimal sensor scheduling and remote estimation over an additive noise channel (opens in a new tab)

  2. The interplay between information and control theory within interactive decision-making problems

    … measure some aspect of its environment, process information and possibly influence the environment through its action. In a colloborative two-agent team decision system, the agents can be coupled by noisy or noiseless interactions and cooperate to solve problems that are beyond the individual …

    uiuc Repository record for The interplay between information and control theory within interactive decision-making problems (opens in a new tab)

  3. Enabling reliable control with communication constraints

    … be wireless. To ensure system reliability, and, most importantly, safety, the communication networks that control these autonomous systems will face strict latency and reliability requirements. Wireless resources are fundamentally scarce, and this scarcity is further compounded by the need …

    texas Repository record for Enabling reliable control with communication constraints (opens in a new tab)

  4. Information Theory and Cooperative Control in Networked Multi-Agent Systems with Applications to Smart Grid

    This dissertation focuses on information theoretic aspects of and cooperative control techniques in networked multi-agent systems (NMAS) with communication constraints. In the first part of the dissertation, information theoretic limitations of tracking problems in networked control systems, …

    unm Repository record for Information Theory and Cooperative Control in Networked Multi-Agent Systems with Applications to Smart Grid (opens in a new tab)