Results 101 to 110 of about 94,126,272 (260)

Input-to-state stability meets small-gain theory [PDF]

Input-to-state stability (ISS) unifies global asymptotic stability with respect to variations of initial conditions with robustness with respect to external disturbances.
Mironchenko, Andrii
core   +1 more source

Assessing stability in discrete-time systems impacted by interference and state delays: An approach using ISS

e-Prime: Advances in Electrical Engineering, Electronics and Energy
In this study, we introduce a criterion for addressing the input to state stability (ISS) problem inherent in nonlinear discrete systems featuring state delay, saturation overflow (SO), and external interference (EI).
Swagatika Nayak, Smita Rani Parija, Pushpendra Kumar Gupta   +2 more
doaj   +1 more source

Transformation of CLF to ISS-CLF for Nonlinear Systems with Disturbance and Construction of Nonlinear Robust Controller with L2 Gain Performance

Journal of Control Science and Engineering, 2014
A new nonlinear control law for a class of nonlinear systems with disturbance is proposed. A control law is designed by transforming control Lyapunov function (CLF) to input-to-state stability control Lyapunov function (ISS-CLF).
Keizo Okano, Kojiro Hagino, Hidetoshi Oya   +2 more
doaj   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Input-to-state-stability-type comparison principles and input-to-state stability for discrete-time dynamical networks with time delays

, 2016
This paper investigates the input-to-state stability (ISS) issue for discrete-time dynamical networks (DDNs) with time delays. Firstly, a general comparison principle for solutions of DDNs is proposed.
Liu, Bin, Xu, Chengjie, Liu, Dongnan
core   +1 more source

Multi‐Functional Smart Skin for High‐Efficiency Energy‐Saving Buildings

Advanced Science, EarlyView.
A scalable multifunctional smart skin (MSS) with broadband modulation, zero‐energy input controllable operation mode, and thermal insulation is designed by assembling thermal managing unit of high solar reflectance and low thermal conductivity and actuation unit of multi‐responsive shape‐memory effect.
Zongxu Na, Li Yu, Bo Lu, Jing Li, Xianyang Yue, Qian Wang   +5 more
wiley   +1 more source

New Characterizations of Input to State Stability

, 2008
We present new characterizations of the Input to State Stability property. As a consequence of these results, we show the equivalence between the ISS property and several (apparent) variations proposed in the ...
Eduardo D. Sontag, Yuan Wang
core  

Measurement feedback controller design to achieve input to state stability [PDF]

, 2004
An approach for design of measurement feedback controllers achieving input-to-state (ISS) stability properties is presented. A synthesis procedure based on dynamic programming is given. We make use of recently developed results on controller synthesis to
S. Huang, Huang, S, Dower, PM, D. Nesic, Nešić, D, M.R. James, James, MR, P.M. Dower   +7 more
core   +1 more source

Sensor Fault Detection for LPV Systems Using Interval Observers

IEEE Access
This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded.
Jorge Yusef Colin-Castillo, Gloria Lilia Osorio-Gordillo, Vicenc Puig, Rodolfo Amalio Vargas-Mendez, Gerardo Vicente Guerrero-Ramirez, Juan Reyes-Reyes, Carlos Manuel Astorga-Zaragoza   +6 more
doaj   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

Advanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues, Andrea Grimaldi, Deborah Volpe, Youwei Bao, Shuhan Yang, Eleonora Grassucci, Giulio Siracusano, Massimo Chiappini, Mario Carpentieri, Hyunsoo Yang, Giovanni Finocchio   +10 more
wiley   +1 more source