In this paper, a robust nonlinear controller is designed in the Input/Output (I/O) linearization framework, for non-square multivariable nonlinear systems that have more inputs than outputs and are subject to parametric uncertainty. A nonlinear state feedback is synthesized that approximately linearizes the system in an I/O sense by solving a convex optimization problem online. A robust control...

The non-isothermal continuous stirred tank reactor (CSTR) is a classical yet complex case study of nonlinear dynamical systems. Power-shaping control is a recent approach for the control of nonlinear systems based on the physics of the dynamical system. In this paper we apply the power-shaping control approach to the nonisothermal CSTR study case. A global Lyapunov function is derived for the o...

In this article, a new model predictive control approach to nonlinear stochastic systems will be presented. The new approach is based on particle filters, which are usually used for estimating states or parameters. Here, two particle filters will be combined, the first one giving an estimate for the actual state based on the actual output of the system; the second one gives an estimate of a con...

Linearization of the input}output response of a nonlinear system via state feedback has found many applications in control of nonlinear processes. However, in the presence of uncertainties, this approach leads to inexact linearization and results in the loss of performance and stability. In this paper, a controller design methodology is developed based on input/output linearization and multi-ob...

The Conventional control approach may not be suitable for non-linear systems and for the systems with considerable parameter variations over a period of time. On the other hand adaptive control techniques proved to be a convenient tool in dealing with the above said systems. The Model Reference Adaptive Systems (MRAS) with performance specifications given in terms of reference model is tried fo...

A detailed dynamic model has been developed for the molecular weight distribution (MWD) of styrene bulk polymerization in a continuous stirred tank reactor (CSTR). The moment techniques are applied to formulate the MWD parameters based on the Schultz-Zimm distribution. In order to provide a general model for MWD control, the B-spline approximation has been introduced into the dynamic MWD modell...

The frameworks of thermodynamic availability function and irreversible port Hamiltonian systems are used to derive passivity based control strategies for irreversible thermodynamic systems. An energy based availability function is defined using as generating function the internal energy. This is a variation with respect to previous works where the total entropy usually corresponds to the genera...

This paper presents the application of robust static output feedback control (RSOFC) to an exothermic continuous-time stirred tank reactor (CSTR) with parametric uncertainties. Necessary and sufficient conditions for stabilization of a linear continuous-time uncertain polytopic system via static output feedback are given at first. Then the problem of RSOFC design is converted to solution of lin...

This paper studies the stabilization problem for T-S fuzzy systems with time delay. Based on Lyapunov criterion and Razumikhin theorem, two types of stabilizing controller are designed. One is the linear state feedback controller and the other is the parallel distributed fuzzy controller (PDFC). For each type of the controller, there are some derived sufficient conditions under which the whole ...

This paper presents a state-space methodology for enhancing the robustness of multivariable MPC controlled systems through the convex optimization of a multivariable Youla parameter. The procedure starts with the design of an initial stabilizing Model Predictive Controller in the state-space representation, which is then robustified under modeling errors considered as unstructured uncertainties...