3 citations · 17 across the 22 of their papers we have counts for
24 papers
On the complexity of linear systems: an approach via rate distortion theory and emulating systems
Eric Wendel, John Baillieul, Joseph Hollmann
We define the complexity of a continuous-time linear system to be the minimum number of bits required to describe its forward increments to a desired level of fidelity, and compute…
Emulation Learning for Neuromimetic Systems
Zexin Sun, John Baillieul
Building on our recent research on neural heuristic quantization systems, results on learning quantized motions and resilience to channel dropouts are reported. We propose a genera…
Model Predictive Control for Neuromimetic Quantized Systems
Zexin Sun, John Baillieul
Based on our recent research on neural heuristic quantization systems, we propose an emulation problem consistent with the neuromimetic paradigm. This optimal quantization problem…
Neuromimetic Linear Systems -- Resilience and Learning
Zexin Sun, John Baillieul
Building on our recent work on {\em neuromimetic control theory}, new results on resilience and neuro-inspired quantization are reported. The term neuromimetic refers to the models…
Visual Navigation Using Sparse Optical Flow and Time-to-Transit
Chiara Boretti, Philippe Bich, Yanyu Zhang +1
Drawing inspiration from biology, we describe the way in which visual sensing with a monocular camera can provide a reliable signal for navigation of mobile robots. The work takes…
Neuromimetic Control -- A Linear Model Paradigm
John Baillieul, Zexin Sun
Stylized models of the neurodynamics that underpin sensory motor control in animals are proposed and studied. The voluntary motions of animals are typically initiated by high level…
Visual Navigation with a 2-pixel Camera---Possibilities and Limitations
John Baillieul, Feiyang Kang
Borrowing terminology from fluid mechanics, the concepts of {\em Eulerian} and {\em Lagrangian optical flow sensing} are introduced. Eulerian optical flow sensing assumes that each…
Perceptual Control with Large Feature and Actuator Networks
John Baillieul
This paper discusses elements of a control theory of systems comprised of networks of simple agents that collectively achieve sensing and actuation goals despite having strictly li…
Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks
Reka Albert, John Baillieul, Adilson E. Motter
The emerging field at the intersection of quantitative biology, network modeling, and control theory has enjoyed significant progress in recent years. This Special Issue brings tog…
Power Grid Decomposition Based on Vertex Cut Sets and Its Applications to Topology Control and Power Trading
Shuai Wang, John Baillieul
It is well known that the reserves/redundancies built into the transmission grid in order to address a variety of contingencies over a long planning horizon may, in the short run,…
Paradigm and Paradox in Topology Control of Power Grids
Shuai Wang, John Baillieul
Corrective Transmission Switching can be used by the grid operator to relieve line overloading and voltage violations, improve system reliability, and reduce system losses. Power g…
A Novel Decomposition for Control of DC Circuits and Grid Models with Heterogeneous Energy Sources
Shuai Wang, John Baillieul
The way in which electric power depends on the topology of circuits with mixed voltage and current sources is examined. The power flowing in any steady-state DC circuit is shown to…
Control and Communication Protocols that Enable Smart Building Microgrids
Bowen Zhang, John Baillieul
Recent communication, computation, and technology advances coupled with climate change concerns have transformed the near future prospects of electricity transmission, and, more no…
The Kirchhoff-Braess Paradox and Its Implications for Smart Microgrids
John Baillieul, Bowen Zhang, Shuai Wang
Well known in the theory of network flows, Braess paradox states that in a congested network, it may happen that adding a new path between destinations can increase the level of co…
Saliency Based Control in Random Feature Networks
John Baillieul, Zhaodan Kong
The ability to rapidly focus attention and react to salient environmental features enables animals to move agiley through their habitats. To replicate this kind of high-performance…
Optimal Provision of Regulation Service Reserves Under Dynamic Energy Service Preferences
Bowen Zhang, Michael C. Caramanis, John Baillieul
We propose and solve a stochastic dynamic programming (DP) problem addressing the optimal provision of regulation service reserves (RSR) by controlling dynamic demand preferences i…
Perception and Steering Control in Paired Bat Flight
Zhaodan Kong, Kayhan Ozcimder, Nathan W. Fuller +1
Animals within groups need to coordinate their reactions to perceived environmental features and to each other in order to safely move from one point to another. This paper extends…
Optical Flow Sensing and the Inverse Perception Problem for Flying Bats
Zhaodan Kong, Kayhan Özcimder, Nathan Fuller +6
The movements of birds, bats, and other flying species are governed by complex sensorimotor systems that allow the animals to react to stationary environmental features as well as…
A Two Level Feedback System Design to Regulation Service Provision
Bowen Zhang, John Baillieul
Demand side management has gained increasing importance as the penetration of renewable energy grows. Based on a Markov jump process modelling of a group of thermostatic loads, thi…
A Packetized Direct Load Control Mechanism for Demand Side Management
Bowen Zhang, John Baillieul
Electricity peaks can be harmful to grid stability and result in additional generation costs to balance supply with demand. By developing a network of smart appliances together wit…
Animal-Inspired Agile Flight Using Optical Flow Sensing
Kenneth Sebesta, John Baillieul
There is evidence that flying animals such as pigeons, goshawks, and bats use optical flow sensing to enable high-speed flight through forest clutter. This paper discusses the elem…
Control Communication Complexity of Distributed Actions
Wing Shing Wong, John Baillieul
Recent papers have treated {\em control communication complexity} in the context of information-based, multiple agent control systems including nonlinear systems of the type that h…
The Control Theory of Motion-Based Communication: Problems in Teaching Robots to Dance
J. Baillieul, K. Özcimder
The paper describes results on two components of a research program focused on motion-based communication mediated by the dynamics of a control system. Specifically we are interest…
Decision Making for Rapid Information Acquisition in the Reconnaissance of Random Fields
Dimitar Baronov, John Baillieul
Research into several aspects of robot-enabled reconnaissance of random fields is reported. The work has two major components: the underlying theory of information acquisition in t…