Results 61 to 70 of about 922,489 (214)

Stability for Switched Fractional Differential Equations with Random Switching Times

open access: yesFractal and Fractional
Stability analysis of switched nonlinear fractional differential equations is considered in this paper. The main characteristic of our problem is random switching times when the switching rule is activated.
Donal O’Regan, Snezhana Hristova
doaj   +1 more source

Robust H∞ guaranteed cost control for non-linear uncertain switched singular systems with multiple time-delay

open access: yesJournal of Hebei University of Science and Technology, 2015
This paper investigates the problem of robust H∞ guaranteed cost control for non-linear uncertain switched singular systems with multiple time-delay. Nonlinear is considered to be norm bounded and the systems are regular and impulse free.
Lijun ZHANG   +5 more
doaj   +1 more source

Lyapunov exponent estimate results for 10 initialisations for each combination of plasticity rule, connectivity method and time-series task.

open access: yes, 2014
Lyapunov exponent estimate results for 10 initialisations for each combination of plasticity rule, connectivity method and time-series task.
Yaochu Jin (368352)   +1 more
core   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

Stability of Nonlinear Switched Fractional Differential Equations with Short Memory

open access: yesFractal and Fractional
Nonlinear switched systems, which combine multiple subsystems with a switching rule, have garnered significant research interest due to their complex stability properties.
Ravi P. Agarwal   +2 more
doaj   +1 more source

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

open access: yesAdvanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source

A polynomial algebraic approach to Lyapunov stability analysis of higher-order 2D systems

open access: yes, 2010
We introduce a four-variable polynomial matrix equation which plays an essential role in the stability analysis of discrete 2-D systems and in the computation of Lyapunov functions for such systems; we call this the 2-D polynomial Lyapunov equation (2-D ...
Kojima, Chiaki   +2 more
core   +1 more source

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

open access: yesAsian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Solution of polynomial Lyapunov and Sylvester equations

open access: yes, 2006
A two-variable polynomial approach to solve the one-variable polynomial Lyapunov and Sylvester equations is proposed. Lifting the problem from the one-variable to the two-variable context gives rise to associated lifted equations which live on finite ...
Peeters, Ralf, Rapisarda, Paolo
core   +1 more source

Reinforcement learning‐enhanced adaptive sliding mode controller for underground articulated vehicles trajectory tracking

open access: yesDeep Underground Science and Engineering, EarlyView.
RL‐SMC couples a reinforcement learning agent with a sliding mode controller, where the agent online‐modulates the sliding mode parameters according to the vehicle's tracking state. A curvature‐aware preview term is further embedded to shift control from reactive correction to proactive maneuvering, enabling the articulated vehicle to anticipate sharp ...
Haoqi Yan   +5 more
wiley   +1 more source

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