We show, in this paper, how a classical method for feedback linearization of a multivariable invertible nonlinear system, via dynamic extension and state feedback, can be robustified. The synthesis of ...

Sierra radio SoC linearization performance showcased at MWC 2025 (Graphic: Business Wire) March 03, 2025 02:05 AM Eastern Standard Time ...

The combination of MaxLinear’s DPD linearization technology (MaxLIN), running on the Sierra radio SoC, and RFHIC’s ID19801D GaN high-efficiency power amplifier, driven by RFHIC’s SDM19007-30H drive ...

If you want to compare the linearized FLUX with the original model, please try inference_t2i.ipynb. If you want to use CLEAR for high-resolution acceleration, please try inference_t2i_highres.ipynb.

The simultaneous optimization problem of the heat exchanger network and organic Rankine cycle (HEN-ORC) poses significant challenges due to its highly nonconvex and nonlinear equations. We develop an ...

The results presented in the research demonstrate significant improvements over prior linearization methods. For example, LoLCATS successfully closed the performance gap between linearized and ...

Among trials with a multivariable PEP model, 16 conditioned on covariates and 352 stratified by covariates. However, 108 (35%) of 312 trials with stratified analyses lost power by categorizing a ...

To overcome these limitations, the researchers introduce a novel technique called Data-Driven Linearization (DDL). This method constructs linearizing transformations within slow Spectral Submanifolds ...

The wearable sensor market is growing at an annual compound rate of 17.8%. However, sensors have challenges, particularly in terms of miniaturization and power consumption. Several key parameters are ...

Vivek, what are the problems with many present approaches for plantwide multivariable control? Vivek: Before we discuss a solution, it may be useful to discuss the sub-controllers in a large ...