Results 311 to 320 of about 2,173,723 (357)

Light‐Fueled In‐Operando Shape Reconfiguration, Fixation, and Recovery of Magnetically Actuated Microtextured Covalent Adaptable Networks

open access: yesAdvanced Materials, EarlyView.
A covalent adaptable network with dynamic disulfide bonds (DS‐CAN) can rearrange its molecular topology through heating or UV irradiation. When combined with ferromagnetic particles, its photoresponsiveness at room temperature enables contactless, spatiotemporal regulation of dynamic bond exchanges during magnetomechanical actuation.
Yeomyung Yoon   +6 more
wiley   +1 more source

Nonlinear Conductive Graphene Composites for Pressure Sensing with a Linear Response and Voltage‐Driven Thermal Correction

open access: yesAdvanced Materials, EarlyView.
A nonlinear conductive graphene composite (NcGc) layer, incorporating a conductive laser‐reduced graphene oxide layer, is assembled into flexible pressure sensors without microstructural designs, achieving high sensitivity (742.3 kPa−1) and a wide linear sensing range (>800 kPa).
Feng Luo   +2 more
wiley   +1 more source

Bioactive Glass Microscaffolds Fabricated by Two‐Photon Lithography

open access: yesAdvanced Materials, EarlyView.
Microstructuring of bioactive glasses offers great potential to influence cell behavior for bone tissue engineering. By utilizing two‐photon lithography of a nanocomposite and thermal post‐processing, single‐micron features and complex structures are achieved.
Leonhard Hambitzer   +7 more
wiley   +1 more source

Enhanced Deformability Through Distributed Buckling in Stiff Quasicrystalline Architected Materials

open access: yesAdvanced Materials, EarlyView.
Quasi‐periodic metamaterials combine stiffness and large‐strain deformability, overcoming limitations of traditional stretching‐dominated periodic designs that are prone to global buckling instabilities and catastrophic layer collapses. By leveraging non‐uniform force chains, they achieve high isotropic stiffness, stable deformation, and remarkable ...
Matheus I. N. Rosa   +4 more
wiley   +1 more source

Nonlinear controllers for nonlinear systems with input nonlinearities [PDF]

open access: possibleProceedings of the 36th IEEE Conference on Decision and Control, 1999
Abstract In this paper we develop an optimality-based nonlinear control framework for nonlinear systems with time-invariant sector-bounded memoryless input nonlinearities. Specifically, using an optimal nonlinear control framework we develop a family of globally stabilizing controllers parameterized by the cost functional that is minimized ...
J.L. Fausz   +2 more
openaire   +2 more sources

On the Identification of Nonlinear Systems

IFAC Proceedings Volumes, 1982
Abstract For the identification of systems in which the nonlinear element is in the feedback path, a new technique based on the Volterra characterisation of nonlinear system, is presented. The method is shown to have distinct computational advantages. Simulation studies using the proposed method are given.
N.C. Jagan, D.C. Reddy
openaire   +2 more sources

Filtering by nonlinear systems

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008
Synchronization of nonlinear systems forced by external signals is formalized as the response of a nonlinear filter. Sufficient conditions for a nonlinear system to behave as a filter are given. Some examples of generalized chaos synchronization are shown to actually be special cases of nonlinear filtering.
J. Urías   +2 more
openaire   +3 more sources

A nonlinear philosophy for nonlinear systems

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
A framework for system analysis and design is described based on nonlinear system models and nonperiodic signals generated by nonlinear systems. The proposed approach to analysis of nonlinear systems is based on an excitability index-a nonlinear counterpart of the magnitude frequency response of linear systems.
openaire   +2 more sources

Innovation Systems by Nonlinear Networks

Nonlinear Dynamics, 2006
Cellular Neural Networks (CNNs) constitute a powerful paradigm for modeling complex systems. Innovation systems are complex systems in which small and medium enterprises play the role of simple units interacting with each other. In this paper, innovation systems based on CNN are investigated.
P. ANDRIANI   +5 more
openaire   +8 more sources

Control of Nonlinear Systems [PDF]

open access: possible, 1993
Abstract : This research by the PI and his graduate students was on: (1) State- Space and I/O systems, (2) Systems with Saturated Control, (3) Discrete-Time Control, (4), Identification of Nonlinear systems and (5) I/O Equations. Twelve papers were published under this grant.
openaire   +1 more source

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