Nonlinear control systems and methods address the complexities inherent in systems whose outputs are not directly proportional to their inputs. These approaches involve a range of strategies – from ...
Stochastic dynamics and nonlinear systems form a critical nexus in modern science, where random processes intersect with complex, often non‐proportional responses. This field characterises phenomena ...
As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...
Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.
Tech Xplore on MSN
Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Postdoctoral researcher in ML for dynamical systems representation, prediction, and state-estimation
The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for ...
Reorganisation of Colorado, US-based photonics firms will maximise business potential of both, they say. Meadowlark Optics has announced the acquisition of the Commercial Products Group (CPG) of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback