Anuradha M. Annaswamy
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View article: Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis Open
Integrated energy systems (IES) are complex heterogeneous architectures that typically encompass power sources, hydrogen electrolyzers, energy storage, and heat exchangers. This integration is achieved through operating control strategy op…
View article: Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis Open
View article: On the stability of gradient descent with second order dynamics for time-varying cost functions.
On the stability of gradient descent with second order dynamics for time-varying cost functions. Open
Gradient based optimization algorithms deployed in Machine Learning (ML) applications are often analyzed and compared by their convergence rates or regret bounds. While these rates and bounds convey valuable information they don't always d…
View article: Adaptive Control of Dubins Vehicle in the Presence of Loss of Effectiveness
Adaptive Control of Dubins Vehicle in the Presence of Loss of Effectiveness Open
The control of a Dubins Vehicle when subjected to a loss of control effectiveness in the turning rate is considered. A complex state-space representation is used to model the vehicle dynamics. An adaptive control design is proposed, with t…
View article: Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis Open
Marine robots must maintain precise control and ensure safety during tasks like ocean monitoring, even when encountering unpredictable disturbances that affect performance. Designing algorithms for uncrewed surface vehicles (USVs) requires…
View article: Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience Open
We propose a comprehensive approach to increase the reliability and resilience of future power grids rich in distributed energy resources. Our distributed scheme combines federated learning-based attack detection with a local electricity m…
View article: A game-theoretic, market-based approach to extract flexibility from distributed energy resources
A game-theoretic, market-based approach to extract flexibility from distributed energy resources Open
We propose a market designed using game theory to optimally utilize the flexibility of distributed energy resources (DERs) like solar, batteries, electric vehicles, and flexible loads. Market agents perform multiperiod optimization to dete…
View article: Control for Societal-Scale Challenges: Road Map 2030
Control for Societal-Scale Challenges: Road Map 2030 Open
The world faces some of its greatest challenges of modern time and how we address them will have a dramatic impact on the life for generations to come. Simultaneously, control systems, consisting of information enriched by various degrees …
View article: Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) Open
Analysis and synthesis of safety-critical autonomous systems are carried out using models which are often dynamic. Two central features of these dynamic systems are parameters and unmodeled dynamics. Much of feedback control design is para…
View article: Safe and Stable Formation Control with Autonomous Multi-Agents Using Adaptive Control (Extended Version)
Safe and Stable Formation Control with Autonomous Multi-Agents Using Adaptive Control (Extended Version) Open
This manuscript considers the problem of ensuring stability and safety during formation control with distributed multi-agent systems in the presence of parametric uncertainty in the dynamics and limited communication. We propose an integra…
View article: A game-theoretic, market-based approach to extract flexibility from distributed energy resources
A game-theoretic, market-based approach to extract flexibility from distributed energy resources Open
View article: Enhancing power grid resilience to cyber-physical attacks using distributed retail electricity markets
Enhancing power grid resilience to cyber-physical attacks using distributed retail electricity markets Open
We propose using a hierarchical retail market structure to alert and dispatch resources to mitigate cyber-physical attacks on a distribution grid. We simulate attacks where a number of generation nodes in a distribution grid are attacked. …
View article: Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems
Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems Open
The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that model…
View article: Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems Open
To maintain a reliable grid we need fast decision-making algorithms for complex problems like Dynamic Reconfiguration (DyR). DyR optimizes distribution grid switch settings in real-time to minimize grid losses and dispatches resources to s…
View article: Controls as a Force for Good [President’s Message]
Controls as a Force for Good [President’s Message] Open
The big, defining questions of our time, such as “How do we leave a viable environment for our grandchildren?”, “How do we get effective and affordable medical care to all corners of the planet?”, or “How do we use artificial intelligence …
View article: Safe and Stable Adaptive Control for a Class of Dynamic Systems
Safe and Stable Adaptive Control for a Class of Dynamic Systems Open
Adaptive control has focused on online control of dynamic systems in the presence of parametric uncertainties, with solutions guaranteeing stability and control performance. Safety, a related property to stability, is becoming increasingly…
View article: Clustering-based model predictive control of solar parabolic trough plants
Clustering-based model predictive control of solar parabolic trough plants Open
View article: Index
Index Open
View article: Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints
Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints Open
Convex optimization with equality and inequality constraints is a ubiquitous problem in several optimization and control problems in large-scale systems. Recently there has been a lot of interest in establishing accelerated convergence of …
View article: In Memoriam: Gerhard Kreisselmeier [Obituary]
In Memoriam: Gerhard Kreisselmeier [Obituary] Open
On October 26, 2021, Prof. Gerhard Kreisselmeier passed away. He was faculty in the Department of Electrical Engineering at the University of Kassel. His area of research spanned from adaptive control, computational complexity, and control…
View article: Local retail electricity markets for distribution grid services
Local retail electricity markets for distribution grid services Open
We propose a hierarchical local electricity market (LEM) at the primary and secondary feeder levels in a distribution grid, to optimally coordinate and schedule distributed energy resources (DER) and provide valuable grid services like vol…
View article: Adaptive Control and Intersections with Reinforcement Learning
Adaptive Control and Intersections with Reinforcement Learning Open
This article provides an exposition of the field of adaptive control and its intersections with reinforcement learning. Adaptive control and reinforcement learning are two different methods that are both commonly employed for the control o…
View article: Dealing with a multiple access congested suburban freeway using a dynamic toll pricing approach
Dealing with a multiple access congested suburban freeway using a dynamic toll pricing approach Open
In this paper we resume a novel approach for alleviating traffic congestion in suburban freeways with multiple access locations through the use of dynamic toll pricing. The pricing strategy is determined using model-based feedback control,…
View article: Clustering-Based Model Predictive Control of Solar Parabolic Trough Plants
Clustering-Based Model Predictive Control of Solar Parabolic Trough Plants Open
View article: A reactive power market for the future grid
A reactive power market for the future grid Open
As pressures to decarbonize the electricity grid increase, the grid edge is witnessing a rapid adoption of distributed and renewable generation. As a result, traditional methods for reactive power management and compensation may become ine…
View article: Guest Editorial Special Issue on Smart City-Networks
Guest Editorial Special Issue on Smart City-Networks Open
The papers in this special section focus on the development of smart city networks. In recent years, there has been a growing interest in sustainable and smart cities. Increasingly, cities need more efficient water, transportation, and ene…
View article: Epistemology of voltage control in DER-rich power system
Epistemology of voltage control in DER-rich power system Open
View article: Transactive Control of Electric Railways Using Dynamic Market Mechanisms
Transactive Control of Electric Railways Using Dynamic Market Mechanisms Open
Electricity demand of electric railways is a relatively unexplored source of flexibility in demand response applications in power systems. In this article, we propose a transactive control-based optimization framework for coordinating the …
View article: OE0000878-Master thesis Observability Analysis of Power Distribution Systems with Distributed Energy Resources Using Correlational Measurements
OE0000878-Master thesis Observability Analysis of Power Distribution Systems with Distributed Energy Resources Using Correlational Measurements Open
In this thesis, an observability analysis framework is proposed for power distribution systems. The framework analyzes the sufficiency of the available measurements for monitoring the system. In the areas of the network where sufficient se…
View article: A Hierarchical Local Electricity Market for a DER-Rich Grid Edge
A Hierarchical Local Electricity Market for a DER-Rich Grid Edge Open
We report with increasing penetration of distributed energy resources (DER) in the distribution system, it is critical to design market structures that enable smooth integration of DERs. A hierarchical local electricity market (LEM) struct…