Bounded robust control of constrained multivariable nonlinear processes

By N. El‐Farra, Panagiotis D. Christofides. 2003

157 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/933c3b14759505bce08d6d9c9803f791ce7e4f32

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In Control and Systems Engineering

Citations in the corpus

Hybrid predictive control of nonlinear systems: method and applications to chemical processes (2004, methodology): “The class of Lyapunov-based bounded controllers in Reference [13] was extended in References [16, 17] to handle input constraints and model uncertainty within an inverse optimal control setting, and provide at the same time an explicit characterization of the constrained stability region.”
Economic model predictive control of nonlinear process systems using Lyapunov techniques (2012, unknown): “_ VðxðsÞÞ a3ða 1 2 ðqsÞÞ þ LxMDþ Lwh (21)”
Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control (2005, methodology): “The desire to implement control approaches that allow for an explicit characterization of their stability properties has motivated significant work on the design of stabilizing control laws, using Lyapunov techniques (e.g., see [14], [4], [ 5 ]; the reader may refer to [12] for a survey of results i”
Output feedback control of switched nonlinear systems using multiple Lyapunov functions (2001, background): “The proof of the proposition, which relies on singular perturbation arguments, is a special case of the proof of Theorem 2 in [8], and is omitted for brevity.”
A tutorial review of economic model predictive control methods (2014, background): “Several control laws that satisfy Assumption 4 have been developed for various classes of nonlinear systems including control laws that provide explicit characterization of the region of attraction for the closed-loop system under the controller k(x) which accounts for input constraints (see, for ex”
Robust predictive control of switched systems: Satisfying uncertain schedules subject to state and control constraints (2008, methodology): “Preparatory to the formalization of the stability and feasibility properties of the robust MPC, we recall the following result for the control law described by Equation (20) [26].”