Electrical and Electronic Engineering - Research Publications

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Author: Nair, Girish × End date: 2018 × Type: Journal Article ×

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Now showing 1 - 4 of 4
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    Two extensions of topological feedback entropy
    Hagihara, R ; Nair, GN (SPRINGER LONDON LTD, 2013-12)
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    Performance Analysis of Gradient-Based Nash Seeking Algorithms Under Quantization
    Nekouei, E ; Nair, GN ; Alpcan, T (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016-12-01)
    This paper investigates the impact of quantized inter-agent communications on the asymptotic and transient behavior of gradient-based Nash-seeking algorithms in non-cooperative games. Using the information-theoretic notion of entropy power, we establish a universal lower bound on the asymptotic rate of exponential mean-square convergence to the Nash equilibrium (NE). This bound depends on the inter-agent data rate and the local behavior of the agents' utility functions, and is independent of the quantizer structure. Next, we study transient performance and derive an upper bound on the average time required to settle inside a specified ball around the NE, under uniform quantization. Furthermore, we establish an upper bound on the probability that agents' actions lie outside this ball, and show that this bound decays double-exponentially with time. Finally, we propose an adaptive quantization scheme that allows the gradient algorithm to converge to the NE despite quantized inter-agent communications.
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    Feedback control under data rate constraints: An overview
    Nair, GN ; Fagnani, F ; Zampieri, S ; Evans, RJ (INSTITUTE OF ELECTRICAL ELECTRONICS ENGINEERS (IEEE), 2007)
    The emerging area of control with limited data rates incorporates ideas from both control and information theory. The data rate constraint introduces quantization into the feedback loop and gives the interconnected system a two-fold nature, continuous and symbolic. In this paper, we review the results available in the literature on data-rate-limited control. For linear systems, we show how fundamental tradeoffs between the data rate and control goals, such as stability, mean entry times, and asymptotic state norms, emerge naturally. While many classical tools from both control and information theory can still be used in this context, it turns out that the deepest results necessitate a novel, integrated view of both disciplines.
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    Systems engineering for irrigation systems: Successes and challenges
    MAREELS, I ; WEYER, E ; OOI, S ; CANTONI, M ; LI, Y ; NAIR, GN (Elsevier, 2005)
    In Australia, gravity fed irrigation systems are critical infrastructure essential to agricultural production and export. By supplementing these large scale civil engineering systems with an appropriate information infrastructure, sensors, actuators and a communication network it is feasible to use systems engineering ideas to improve the exploitation of the irrigation system. This paper reports how classical ideas from system identification and control can be used to automate irrigation systems to deliver a near on-demand water supply with vastly improved overall distribution efficiency.