Symbolic Control of Linear Systems Based on Symbolic Subsystems

Symbolic Control Analysis of Cellular Systems

Metabolic Control Analysis (MCA) is a powerful quantitative framework for understanding and explaining the relationships between the global steady-state properties of a cellular system in terms of control coefficients, and the local properties of the individual components of the system in terms of elasticities. The elasticities are apparent kinetic orders, which derive directly from the kinetic...

Symbolic Polynomial Tools for Nonlinear Control Systems ?

A collection of functions addressing various modelling problems for nonlinear control systems has been developed in Mathematica environment. The mathematical apparatus behind the programs is based on the theory of non-commutative skew polynomial rings. The functions described in paper allow to find the state-space realization of the set of input-output equations, reduce the system equations, co...

Symbolic Models for Networked Control Systems

Networked control systems (NCS) are spatially-distributed systems in which communication between sensors, controllers, and actuators is supported by a shared communication network that is subject to variable communication delays, quantization errors, packet losses, limited bandwidth, and other practical non-idealities. This work investigates the problem of constructively deriving symbolic model...

Symbolic Algebra and Physical - Model - Based Control

Symbolic Control Design of Nonlinear Networked Control Systems

Networked Control Systems (NCS) are distributed systems where plants, sensors, actuators and controllers communicate over shared networks. Non-ideal behaviors of the communication network include variable sampling/transmission intervals and communication delays, packet losses, communication constraints and quantization errors. NCS have been the object of intensive study in the last few years. H...