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33 Result(s)
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Pramod P. Khargonekar
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Chapter
Grid Integration of Renewable Electricity and Distributed Control
Motivated by climate change and sustainability, and the resulting need to decarbonize the electricity sector, there is a major global movement toward large-scale integration of renewable energy, i.e., wind and...
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Book
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Chapter
Conclusion
In this chapter, we conclude the brief by summarizing our main contributions and then propose some future research directions.
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Chapter
Hierarchical Architecture for Distributed Energy Resource Management
In this chapter, we first describe the motivation for distributed energy resources (DERs) and briefly summarize the related work about DER management. Then, we present the research challenges for DER managemen...
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Chapter
Optimal Energy Management for Smart Homes
Under the architecture illustrated in Chap. 1, in this chapter, we focuses on the lowest level of the hierarchical architecture: a single home. The energy smart ho...
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Chapter
Risk-Constrained Optimal Energy Management for Smart Microgrids
This chapter focuses on the top level of the proposed architecture: a set of neighborhoods connected to different buses forming into a microgrid. The microgrid can span over the entire distribution system down...
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Chapter
Decentralized Coordination of Energy Consumption for Smart Neighborhoods
While the resource optimization of a single smart home is important, the aggregated effect of multiple smart homes is important to the performance of the overall system. In this chapter, we focus on the middle...
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Article
Computational Modeling of Channelrhodopsin-2 Photocurrent Characteristics in Relation to Neural Signaling
Channelrhodopsins-2 (ChR2) are a class of light sensitive proteins that offer the ability to use light stimulation to regulate neural activity with millisecond precision. In order to address the limitations in...
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Article
Open AccessComputational modeling of light activated ion channels
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Article
Open AccessComputational modeling of light activated ion channels
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Article
Open AccessGenesis of interictal spikes in the CA1: a computational investigation
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Article
Detecting effective connectivity in networks of coupled neuronal oscillators
The application of data-driven time series analysis techniques such as Granger causality, partial directed coherence and phase dynamics modeling to estimate effective connectivity in brain networks has recentl...
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Article
Control of neural synchrony using channelrhodopsin-2: a computational study
In this paper, we present an optical stimulation based approach to induce 1:1 in-phase synchrony in a network of coupled interneurons wherein each interneuron expresses the light sensitive protein channelrhodo...
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Article
Open AccessThe applicability of effective connectivity measures to time series of neuronal oscillators
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Article
Open AccessModel parameter estimation for Channelrhodopsin-2 light gated ion channels
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Article
Open AccessSynchronization induced by signal propagation delays in inhibitory networks
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Article
Open AccessControl of neural synchrony with light activated opsins
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Chapter
Predicting Synchrony in a Simple Neuronal Network
Human brain is comprised of hierarchically structured networks of neurons with feedforward and feedback connections across the hierarchy [17]. It has a remarkable ability to process sensory information and gen...
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Article
Distribution-free consistency of empirical risk minimization and support vector regression
In this paper, we focus on the generalization ability of the empirical risk minimization technique in the framework of agnostic learning, and consider the support vector regression method as a special case. We...
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Chapter
Modeling, Analysis, and Implementation of Logic Controllers for Machining Systems Using Petri Nets and SFC
The logic control for high-volume machining systems, such as the transfer lines commonly used in the automotive manufacturing industry, must achieve multiple functions in distinct control modes, and thus is qu...
