Results 111 to 120 of about 203,735 (329)
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer +12 more
wiley +1 more source
Multi-objective finite control set-model predictive control (FCS-MPC) plays a prominent role in controlling modern power converters and electric drives.
Emrah Zerdali +5 more
doaj +1 more source
Guaranteeing Input Tracking For Constrained Systems: Theory and Application to Demand Response
A method for certifying exact input trackability for constrained discrete time linear systems is introduced in this paper. A signal is assumed to be drawn from a reference set and the system must track this signal with a linear combination of its inputs.
Bitlislioğlu, Altuğ +3 more
core +1 more source
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song +4 more
wiley +1 more source
Finite control set model predictive control (FCS-MPC) methods in different power electronic applications are gaining considerable attention due to their simplicity and fast dynamics.
Mohammed Alhasheem +2 more
doaj +1 more source
Low-Rank Modifications of Riccati Factorizations for Model Predictive Control
In Model Predictive Control (MPC) the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem at each sample in the control loop.
Axehill, Daniel, Nielsen, Isak
core +1 more source
Optimal control of linear, stochastic systems with state and input constraints [PDF]
In this paper we extend the work presented in our previous papers (2001) where we considered optimal control of a linear, discrete time system subject to input constraints and stochastic disturbances.
Batina, Ivo +2 more
core +3 more sources
On the SDP Relaxation of Direct Torque Finite Control Set Model Predictive Control
This paper formulates a semidefinite programming relaxation for a long horizon direct-torque finite-control-set model predictive control problem. In parallel with this relaxation, a conventional branch-and-bound algorithm tailored for the original problem, but with an iteration limit to restrict its computational burden, is also solved.
Luca M. Hartmann +4 more
openaire +2 more sources
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco +8 more
wiley +1 more source

