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Accurate prediction of pedestrian trajectories is crucial for improving the safety of autonomous driving. However, this task is generally nontrivial due to the inherent stochasticity of human motion, which naturally requires the predictor…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Ge Sun , Sheng Wang , Lei Zhu , Ming Liu , Jun Ma

This paper studies the deployment of joint moving target defense (MTD) and deception against multi-stage cyberattacks. Given the system equipped with MTD that randomizes between different configurations, we investigate how to allocate a…

Cryptography and Security · Computer Science 2022-10-17 Lening Li , Haoxiang Ma , Shuo Han , Jie Fu

This paper proposes a distributed model predicted control (DMPC) approach for consensus control of multi-agent systems (MASs) with linear agent dynamics and bounded control input constraints. Within the proposed DMPC framework, each agent…

Systems and Control · Electrical Eng. & Systems 2020-09-16 Yougang Bian , Changkun Du , Manjiang Hu , Haikuo Liu

This paper presents a consensus-based formation control strategy for autonomous agents moving in the plane with continuous-time single integrator dynamics. In order to save wireless resources (bandwidth, energy, etc), the designed…

Systems and Control · Computer Science 2019-03-20 Fabio Molinari , Joerg Raisch

Existing data-driven control methods generally do not address False Data Injection (FDI) and Denial-of-Service (DoS) attacks simultaneously. This letter introduces a distributed data-driven attack-resilient consensus problem under both FDI…

Systems and Control · Electrical Eng. & Systems 2025-01-03 Yi Zhang , Bin Lei , Mohamadamin Rajabinezhad , Caiwen Ding , Shan Zuo

Safety in reinforcement learning is often specified through cumulative cost constraints, but these trajectory-level guarantees do not directly prevent unsafe individual decisions, especially under nonstationarity. In continual and…

Machine Learning · Computer Science 2026-05-20 Timofey Tomashevskiy

In this paper, we study finite-time state consensus problems for continuous nonlinear multi-agent systems. Building on the theory of finite-time Lyapunov stability, we propose sufficient criteria which guarantee the system to reach a…

Information Theory · Computer Science 2009-09-18 Yilun Shang

Recently, low-complexity and distributed Carrier Sense Multiple Access (CSMA)-based scheduling algorithms have attracted extensive interest due to their throughput-optimal characteristics in general network topologies. However, these…

Networking and Internet Architecture · Computer Science 2014-05-06 Bin Li , Atilla Eryilmaz

In the present article, a new system architecture for the next generation of satellite communication (SatComs) is presented. The key concept lies in the collaboration between multibeam satellites that share one orbital position.…

Information Theory · Computer Science 2015-03-25 Dimitrios Christopoulos , Shree Krishna Sharma , Symeon Chatzinotas , Jens Krauseand Bjorn Ottersten

This paper proposes a nonlinear guidance strategy capable of intercepting a constant-velocity, non-maneuvering target while strictly satisfying the prescribed bounds on the control input (commanded acceleration). Unlike conventional…

Systems and Control · Electrical Eng. & Systems 2026-05-14 Lohitvel Gopikannan , Shashi Ranjan Kumar , Abhinav Sinha

This paper is concerned with the design of a distributed cooperative synchronization controller for a class of higher-order nonlinear multi-agent systems. The objective is to achieve synchronization and satisfy a predefined time-based…

Optimization and Control · Mathematics 2022-02-28 Hashim A. Hashim , Sami El-Ferik , Frank L. Lewis

The recently proposed affine frequency division multiplexing (AFDM) is a new transmission waveform that has shown excellent performance in high-mobility environments, making it a sensible option for the next-generation wireless networks. In…

Information Theory · Computer Science 2025-07-15 Mi Qian , Fei Ji , Yao Ge , Miaowen Wen , Yong Liang Guan

Federated Machine Learning (Fed ML) is a new distributed machine learning technique applied to collaboratively train a global model using clients local data without transmitting it. Nodes only send parameter updates (e.g., weight updates in…

Machine Learning · Computer Science 2023-01-11 Rachid EL Mokadem , Yann Ben Maissa , Zineb El Akkaoui

This work addresses a strategy to mitigate jamming attack on low-latency communication by a Full-Duplex (FD) adversary in fast-fading channel conditions. The threat model is such that the FD adversary can jam a frequency band and measure…

Information Theory · Computer Science 2021-04-29 Vivek Chaudhary , J. Harshan

Non-overshooting stabilization is a form of safe control where the setpoint chosen by the user is at the boundary of the safe set. Exponential non-overshooting stabilization, including suitable extensions to systems with deterministic and…

Systems and Control · Electrical Eng. & Systems 2022-02-17 Andrey Polyakov , Miroslav Krstic

In this paper, an adaptive cooperative guidance strategy for the active protection of a target spacecraft trying to evade an interceptor was developed. The target spacecraft performs evasive maneuvers, launching an active defense vehicle to…

Systems and Control · Electrical Eng. & Systems 2022-12-07 Li Zhi , Haizhao Liang , Jinze Wu , Jianying Wang , Yu Zheng

Optical metasurfaces empower us to manipulate the electromagnetic space and control light propagation at the nanoscale, offering a powerful tool to achieve modulation of light for information processing and storage. In this work, we propose…

Optics · Physics 2024-06-11 Tingting Liu , Jie Li , Shuyuan Xiao

We present PFDCMSS, a novel message-passing based parallel algorithm for mining time-faded heavy hitters. The algorithm is a parallel version of the recently published FDCMSS sequential algorithm. We formally prove its correctness by…

Data Structures and Algorithms · Computer Science 2017-01-12 Massimo Cafaro , Marco Pulimeno , Italo Epicoco

Vehicle-to-vehicle communication enables autonomous platoons to boost traffic efficiency and safety, while ensuring string stability with a constant spacing policy. However, communication-based controllers are susceptible to a range of…

Computer Science and Game Theory · Computer Science 2021-09-30 Guoxin Sun , Tansu Alpcan , Benjamin I. P. Rubinstein , Seyit Camtepe

We present a novel guidance law that uses observations consisting solely of seeker line of sight angle measurements and their rate of change. The policy is optimized using reinforcement meta-learning and demonstrated in a simulated terminal…

Systems and Control · Electrical Eng. & Systems 2024-09-23 Brian Gaudet , Roberto Furfaro , Richard Linares