An adaptive hybrid neural control scheme is presented for uncertain non-linear discrete-time
Systems (UNLDTS) with non-symmetric dead-zone input and unknown disturbances. This …

The multiple–input multiple–output (MIMO) output feedback (OF) control problem of an
exothermic multi-jacket tubular open-loop unstable reactor is addressed. Over its axial …

This paper addresses the model predictive output controller design for a non-isothermal
axial dispersion tubular reactor accounting for energy and mass transport in a recycle …

The problem of modeling the complex nonlinear dynamics of continuous biomass throated
gasification tubular reactors is addressed. The problem is solved with first principles …

Real-time optimization (RTO) has been a popular approach for addressing optimal
operation by repetitively optimizing online. However, this approach is impractical for …

The article concerns some problems associated with the use of low‐grade fuels for the
production of syngas in fixed‐bed gasifiers. Syngas is typically used to feed internal …

This contribution develops the model predictive control for an unstable chemostat reactor.
Initially, we analyze the system's model—a nonlinear first-order hyperbolic partial integro …

The problem of robustly stabilizing and estimating the state of an open-loop unstable
continuous exothermic tubular reactor with constrained control is solved with a …

This article addresses the model predictive controller design for a jacket tubular reactor with
a simple reversible exothermic reaction (A⇌ B). Using energy and mass balance laws, four …

The present paper introduces an innovative approach integrating recurrent neural networks,
static models, and signal decomposition into base and residual behavior components for …