Results 31 to 40 of about 4,417,348 (298)
Input-to-state stability for discrete-time time-varying systems with applications to robust stabilization of systems in power form [PDF]
Input-to-state stability (ISS) of a parameterized family of discrete-time time-varying nonlinear systems is investigated. A converse Lyapunov theorem for such systems is developed.
Laila, D. S. +5 more
core +1 more source
A System Identification Based Approach for Design of IIR Digital Filters with Robust Stability
Design problem of infinite impulse response (IIR) filters is generally a non-linear optimization problem due to the presence of denominator polynomial.
Masayoshi Nakamoto +2 more
doaj +1 more source
This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks.
Xiuping Han +4 more
doaj +1 more source
Robust Stability of Iterative Learning Control Schemes
A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
Mark French, French, Mark
core +1 more source
Performance Recovery and Stability Analysis of Disturbance Observer Under Unmodeled Dynamics
Feedback system design is often achieved by neglecting the unmodeled dynamics, such as the actuator and sensor, to reduce design complexity. It is based on an assumption that the unmodeled dynamics are fast enough to be negligible.
Youngjun Joo
doaj +1 more source
On robust stability of stochastic genetic regulatory networks with time delays: A delay fractioning approach [PDF]
Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z, Liang, J, Wang, Y
core +1 more source
In practical applications, stochastic effects are normally viewed as the major sources that lead to the system’s unwilling behaviours when modelling real neural systems. As such, the research on network models with stochastic effects is significant.
Pharunyou Chanthorn +6 more
doaj +1 more source
Robust stabilization of multiport networks
This paper formulates and solves the problem of robust compensation of multiport active network. This is an important engineering problem as networks designed differ in parameter values due to tolerance during manufacture from their actual realizations in chips and hardware. Parameters also undergo changes due to environmental factors. Hence, practical
Mayuresh Bakshi +2 more
openaire +3 more sources
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Stability and Robustness of RBF Interpolation [PDF]
We consider how some methods of uniform and nonuniform interpolation by translates of radial basis functions -- specifically the so-called general multiquadrics -- perform in the presence of certain types of noise. These techniques provide some new avenues for interpolation on bounded domains that is different from the existing literature by using fast
Bouchot, Jean-Luc, Hamm, Keaton
openaire +3 more sources

