𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Nonlinear process control using contraction theory

✍ Scribed by Winfried Lohmiller; Jean-Jacques E. Slotine


Publisher
American Institute of Chemical Engineers
Year
2000
Tongue
English
Weight
130 KB
Volume
46
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Contraction theory is a recently developed nonlinear control system tool based on an exact differential analysis of convergence. Contraction theory is applied to stability analysis and control system design for nonlinear chemical processes. Simple designs with explicit stability and convergence guarantees are obtained by taking advantage of the monotonicity of the reaction rates and the linear ambiguity in the choice of the chemical state.


πŸ“œ SIMILAR VOLUMES


Nonlinear control of particulate process
✍ Timothy Chiu; Panagiotis D. Christofides πŸ“‚ Article πŸ“… 1999 πŸ› American Institute of Chemical Engineers 🌐 English βš– 290 KB πŸ‘ 1 views
Reliable nonlinear control system design
✍ Yuqiong Liu; Jianliang Wang; Guang-Hong Yang; C. B. Soh πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 223 KB πŸ‘ 1 views

Reliable ΒΈ gain bounding (i.e., H ) controllers for nonlinear systems are designed by using redundant control elements. One sensor and one actuator are duplicated, and the resulting closed-loop system is reliable with respect to both the single contingency case and the primary contingency case. The

Nonlinear control system using learning
✍ Masanao Ohbayashi; Kotaro Hirasawa; Singo Sakai; Jinglu Hu πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 285 KB πŸ‘ 1 views

According to recent understanding of brain science, it is suggested that there is a distribution of functions in the brain, which means that different neurons are activated depending on which sort of sensory information the brain receives. We have already developed a learning network with a function