N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems

TL;DR: This work elaborate an EMPC algorithm using the offset-free formulation from tracking MPC algorithms in combination with modifier-adaptation technique from the real-time optimization (RTO) field.

TL;DR: A new vector representation method, named tangent Fisher vector, is proposed to describe video sequences in the Fisher kernel framework, and is evaluated on the state-of-the-art human action benchmark datasets.

TL;DR: The proposed new architecture-level thermal modeling method, ThermSID, is based on a subspace identification method to build the thermal models, which first generates a Hankel matrix of Markov parameters, from which state matrices are obtained through minimum square optimization.

TL;DR: A rigorous analysis of the properties of Weighted null-space fitting, namely, consistency, and asymptotic efficiency, is conducted.

TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.

TL;DR: This volume focuses on the design of computer-controlled systems, featuring computational tools that can be applied directly and are explained with simple paper-and-pencil calculations.

TL;DR: In this paper, the authors studied the effect of local derivatives on the detection of intensity edges in images, where the local difference of intensities is computed for each pixel in the image.