System Identification Using Regular and Quantized Observations
Applications of Large Deviations Principles
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Article
The Role of Ferroptosis in Amyotrophic Lateral Sclerosis Treatment
Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease with a challenging treatment landscape, due to its complex pathogenesis and limited availability of clinical drugs. Ferroptosis, an iron-...
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Article
State of health based battery reconfiguration for improved energy efficiency
This paper analyzes the system-level state of health (SOH) and its dependence on the SOHs of its component battery modules. Due to stochastic natures of battery aging processes and their dependence on charge/d...
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Article
Adaptive Optimization with Periodic Dither Signals
Optimization methods in cyber-physical systems do not involve parameter uncertainties in most existing literature. This paper considers adaptive optimization problems in which searching for optimal solutions a...
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Article
Open AccessA novel mutation in the PRPH2 gene in a Chinese pedigree with retinitis pigmentosa and angle-closure glaucoma
Retinitis pigmentosa (RP) is a rare, progressive, and hereditary disorder that leads to the progressive loss of vision and visual field, and in some cases blindness. The specific relationship between RP and gl...
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Article
Information control in networked discrete event systems and its application to battery management systems
Opacity is an important property in control of information flow among networked agents. In this paper, we investigate information control problems in networked discrete event systems using opacity. In a networ...
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Article
Open AccessA Comparative Study on Open Circuit Voltage Models for Lithium-ion Batteries
The current research of state of charge (SoC) online estimation of lithium-ion battery (LiB) in electric vehicles (EVs) mainly focuses on adopting or improving of battery models and estimation filters. However...
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Chapter and Conference Paper
Critical Safety Distance Model of Human-Vehicle Unit Based on Traffic Conflict at Urban Intersections
Traffic safety problem is one of the main problems faced by road traffic system, which attracts more and more attention of the society. Intersection is the bottleneck of the urban road traffic system. A large ...
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Chapter and Conference Paper
Analysis of the Homogeneity of Driver Behaviors at Intersections
Intersections are road traffic accident-prone locations. About 10–40% of the traffic accidents take place at intersections worldwide every year. An intersection in Haidian District, Bei**g was surveyed by vid...
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Chapter
Trustworthy Foundation for CAVs in an Uncertain World: From Wireless Networking, Sensing, and Control to Software-Defined Infrastructure
Three basic enablers for connected and automated vehicles (CAVs) are wireless networking, sensing, and control. Tightly coupled with the physical process of wireless signal propagation, vehicle movement, and e...
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Chapter and Conference Paper
Applications of Numerical Methods for Stochastic Controlled Switching Diffusions with a Hidden Markov Chain: Case Studies on Distributed Power Management and Communication Resource Allocation
Recently, considerable attention has been drawn to stochastic controlled systems with hidden Markov chains.
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Article
Control of vehicle platoons for highway safety and efficient utility: Consensus with communications and vehicle dynamics
Platoon formation of highway vehicles is a critical foundation for autonomous or semiautonomous vehicle control for enhanced safety, improved highway utility, increased fuel economy, and reduced emission towar...
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Parameter estimation and reliable fault detection of electric motors
Accurate model identification and fault detection are necessary for reliable motor control. Motor-characterizing parameters experience substantial changes due to aging, motor operating conditions, and faults. ...
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Article
Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging
This paper introduces a post-iteration averaging algorithm to achieve asymptotic optimality in convergence rates of stochastic approximation algorithms for consensus control with structural constraints. The al...
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Book
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Book
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Chapter
Introduction and Overview
Traditional system identification taking noise measurement into consideration concentrates on convergence in suitable senses (such as in mean square, in distribution, or with probability one) and rates of conv...
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Chapter
Large Deviations: An Introduction
The theory of large deviations characterizes probabilities and moments of certain sequences that are associated with “rare” events. In a typical application, consider the sum of N independent and identically dist...
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Chapter
LDP of System Identification under Mixing Observation Noises
Up to this point, the observation noises are assumed to be uncorrelated. In this chapter, we demonstrate that a much larger class of noise processes can be treated.
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Chapter
Remarks and Conclusion
For clarity, this book assumes that the input is designed to be periodic. Advantages of using full rank and periodic inputs in quantized identification problems have been extensively discussed in [62]. Note th...
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Chapter
System Identification: Formulation
Consider a single-input–single-output (SISO) linear time-invariant (LTI) stable discrete-time system
2.1 $$y(t) =\displaystyle\sum\limi...
