This paper addresses cooperative global robust output regulation for heterogeneous and uncertain multiagent nonlinear systems in the output-feedback normal form.Specifically,we develop a Lyapunov-based dynamic output-feedback law using a nonlinear interna
Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists.The resulting adaptive detectors typically possess constant false alarm rate(CFAR)properties;thus,no additional CF
Hardware security primitives that preserve secrets are playing a crucial role in the Internet-of-Things(IoT)era.Existing physical unclonable function(PUF)instantiations,exploiting static randomness,generate challenge-response pairings(CRPs)to produce uniq
The von Neumann bottleneck and memory wall have posed fundamental limitations in latency and energy consumption of modern computers based on von Neumann architecture.In-memory computing represents a radical shift in the computer architecture that can addr
We tackle the online 3D bin packing problem (3D-BPP),a challenging yet practically useful variant of the classical bin packing problem.In this problem,the items are delivered to the agent without informing the full sequence information.The agent must dire
As the conventional von Neumann architecture meets critical limitations of data transfer bandwidth and energy consumption,perpendicular magnetic anisotropy magnetic tunnel junction based processing-in-memory paradigm attracts extensive attention as a prom