While models of high complexity are very useful for simulation and prediction purposes in the process industry, they may not be adequate for controller design. This paper proposes a procedure for model complexity reduction for this specific purpose by combining several nonlinear identification and optimization techniques. The available complex simulation model is used as surrogate plant to gene...

The automatic transcription process of spoken document results in several word errors, especially when very noisy conditions are encountered. Document representations based on neural embedding frameworks have recently shown significant improvements in different Spoken and Natural Language Understanding tasks such as denoising and filtering. Nonetheless, these methods mainly need clean represent...

In this paper, a two-stage dynamic game model of China’s iron and steel industry is constructed. Carbon tax levy, product subsidy, carbon capture and sequestration (CCS) and other factors are included in the emission reduction mechanism. The effects of emissions reduction and the economic impact of China’s overall steel industry (and that of its six main regions) are investigated for the first ...

Acoustic multi-channel equalization techniques, such as the regularized partial multi-channel equalization technique based on the multiple-input/output inverse theorem (RP-MINT), are able to achieve a high dereverberation performance in the presence of room impulse response perturbations but may lead to additive noise amplification. This paper proposes to directly extend the RP-MINT technique b...

This article presents an algorithm to achieve stable reduced models using Krylov-based model order reduction for discrete time systems while matching a certain number of Markov parameters. By using the invariance properties of the controllability matrix suitable input and output Krylov subspaces are derived. The method is illustrated performing model reduction of four well-known benchmark probl...

We introduce a novel model order reduction method for large-scale linear switched systems (LSS) where the coefficient matrices are affected by a low-rank switching. The key idea is to replace the LSS by a non-switched system with extended input and output vectors – called the envelope system – which is able to reproduce the dynamical behavior of the original LSS by applying a certain feedback l...

Linear AC power supplies can be replaced by their nonlinear switching counterparts due to the lower voltage drops and higher efficiency and power density of switching-mode inverters. Multilevel cascaded H-bridge (CHB) converters are the preferred inverter structure because of modular configuration, control, and protection. The output voltage quality in CHB converters depends on the number of ou...