11 citations · 29 across the 34 of their papers we have counts for
20 papers · 1 filter
Distributed Adaptive Estimation of Unknown Nonlinear Systems without Input Sharing
Moh Kamalul Wafi, Milad Siami
This paper studies distributed adaptive state estimation for discrete-time nonlinear systems with unknown source dynamics over directed communication networks. Each sensing agent e…
A Passivity-Agnostic Framework for Distributed Adaptive Synchronization under Unknown Leader Dynamics
Moh Kamalul Wafi, Milad Siami
We present a passivity-agnostic framework for distributed adaptive synchronization under position-only communication, bounded disturbances, and unknown leader dynamics. By passivit…
Distributed Adaptive Estimation with ISS Guarantees for Sensor Networks with Partially Unknown Source Dynamics
Moh Kamalul Wafi, Hamidreza Montazeri Hedesh, Milad Siami
This paper studies distributed adaptive estimation over sensor networks with partially unknown source dynamics. We present parallel continuous-time and discrete-time designs in whi…
Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy
Hamidreza Montazeri Hedesh, Milad Siami
We present a risk-aware safety certification method for autonomous, learning enabled control systems. Focusing on two realistic risks, state/input delays and interval matrix uncert…
Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami
We study the local stability of nonlinear systems in the Lur'e form with static nonlinear feedback realized by feedforward neural networks (FFNNs). By leveraging positivity system…
Robust Stability Analysis of Positive Lure System with Neural Network Feedback
Hamidreza Montazeri Hedesh, Moh. Kamalul Wafi, Bahram Shafai +1
This paper investigates the robustness of the Lur'e problem under positivity constraints, drawing on results from the positive Aizerman conjecture and robustness properties of Metz…
Convergence Analysis of Gradient Flow for Overparameterized LQR Formulations
Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
Motivated by the growing use of artificial intelligence (AI) tools in control design, this paper analyses the intersection between results from gradient methods for the model-free…
Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
Hamidreza Montazeri Hedesh, Milad Siami
This paper introduces a novel method for the stability analysis of positive feedback systems with a class of fully connected feedforward neural networks (FFNN) controllers. By esta…
Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic Approach
Arthur Castello Branco de Oliveira, Milad Siami, Eduardo D. Sontag
Numerical ``direct'' approaches to time-optimal control often fail to find solutions that are singular in the sense of the Pontryagin Maximum Principle, performing better when sear…
Distributed Adaptive Control of Disturbed Interconnected Systems with High-Order Tuners
Moh. Kamalul Wafi, Milad Siami
This paper addresses the challenge of network synchronization under limited communication, involving heterogeneous agents with different dynamics and various network topologies, to…
Centrality-Based Traffic Restriction in Delayed Epidemic Networks
Atefe Darabi, Milad Siami
During an epidemic, infectious individuals might not be detectable until some time after becoming infected. The studies show that carriers with mild or no symptoms are the main con…
Edge Selection in Bilinear Dynamical Networks
Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
We develop some basic principles for the design and robustness analysis of a continuous-time bilinear dynamical network, where an attacker can manipulate the strength of the interc…
A Separation Theorem for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds
Milad Siami, Ali Jadbabaie
We study the problem of jointly designing a sparse sensor and actuator schedule for linear dynamical systems while guaranteeing a control/estimation performance that approximates t…
Centrality in Time-Delay Consensus Networks with Structured Uncertainties
Yaser Ghaedsharaf, Milad Siami, Christoforos Somarakis +1
We investigate notions of network centrality in terms of the underlying coupling graph of the network, structure of exogenous uncertainties, and communication time-delay. Our focus…
Performance Improvement in Noisy Linear Consensus Networks with Time-Delay
Yaser Ghaedsharaf, Milad Siami, Christoforos Somarakis +1
We analyze performance of a class of time-delay first-order consensus networks from a graph topological perspective and present methods to improve it. The performance is measured b…
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds
Milad Siami, Alex Olshevsky, Ali Jadbabaie
In this paper, we investigate the problem of actuator selection for linear dynamical systems. We develop a framework to design a sparse actuator schedule for a given large-scale li…
Abstraction of Linear Consensus Networks with Guaranteed Systemic Performance Measures
Milad Siami, Nader Motee
A proper abstraction of a large-scale linear consensus network with a dense coupling graph is one whose number of coupling links is proportional to its number of subsystems and its…
Structural Analysis and Optimal Design of Distributed System Throttlers
Milad Siami, Joëlle Skaf
In this paper, we investigate the performance analysis and synthesis of distributed system throttlers (DST). A throttler is a mechanism that limits the flow rate of incoming metric…
Fundamental Limits and Tradeoffs in Autocatalytic Pathways
Milad Siami, Nader Motee, Gentian Buzi +3
This paper develops some basic principles to study autocatalytic networks and exploit their structural properties in order to characterize their inherent fundamental limits and tra…
Scaling Laws for Disturbance Propagation in Cyclic Dynamical Networks
Milad Siami, Nader Motee
Our goal is to analyze performance of stable linear dynamical networks subject to external stochastic disturbances. The square of the -norm of the network is used as…