Results 191 to 200 of about 603,661 (358)
PERANCANGAN SISTEM SELEKSI JURNAL YANG AKAN DILANGGAN PERPUSTAKAAN
The purpose of this research is to design a selection system for the journals subscribed by Petra Christian University Library. The designed selection system takes into account both technical and economical criteria.
Tessa Vanina Soetanto+2 more
doaj
Abstract This paper focuses on the issue of adaptive event‐triggered containment control for Markov jump multi‐agent systems characterized by hidden Markov jump parameters. The central objective is to design an output‐feedback controller for the Markov jump multi‐agent system by using an adaptive event‐triggered technique that not only ensures the ...
Parivallal Arumugam+3 more
wiley +1 more source
Accurate Flow Decomposition via Robust Integer Linear Programming
Dias FHC, Tomescu AI.
europepmc +1 more source
J. L. de Miranda
semanticscholar +1 more source
On qualitative analysis of an ecological dynamics with time delay
Abstract In this paper, we study a fractional‐order predator–prey system with time delay, where the dynamics are logistic with prey population commensurate to the carrying capacity. Mainly, by linearizing the system around the equilibrium point, we first analyze the stability and then prove the existence of Hopf bifurcation.
Canan Celik, Kubra Degerli
wiley +1 more source
Optimal Antibody Purification Strategies Using Data-Driven Models
This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
doaj
Integer linear programming formulation of the vehicle positioning problem in automated manufacturing systems [PDF]
Jairo R. Montoya‐Torres+1 more
openalex +1 more source
Optimal operation of water-energy microgrids; a mixed integer linear programming formulation
Faegheh Moazeni, J. Khazaei
semanticscholar +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili+2 more
wiley +1 more source
Minimal Resolutions of Lattice Ideals and Integer Linear Programming
Emilio Briales-Morales+3 more
openalex +2 more sources