Name
Abstract | ||
|---|---|---|
Blending processes consisting of linear dynamics and a static nonlinearity are considered. We propose a control law that optimizes the equilibrium point of the process and regulates the output to the corresponding equilibrium state. A control Lyapunov function (CLF) is used to derive a stable optimizing update law for the equilibrium point, in combination with a linear quadratic (LQ) feedback law for tracking the optimized equilibrium point. The analysis and design also incorporates the use of an observer for state and bias estimation. Experimental results using a laboratory scale colorant blending process illustrate the efficiency of the method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TCST.2004.841676 | Control Systems Technology, IEEE Transactions |
Keywords | Field | DocType |
Lyapunov methods,blending,nonlinear control systems,observers,optimal control,optimisation,process control,Lyapunov-based optimizing control,bias estimation,linear dynamics,linear quadratic feedback law,nonlinear blending processes,nonlinear observers,state estimation,static nonlinearity,Control Lyapunov functions (CLFs),Wiener models,nonlinear observers,optimization,process control | Lyapunov function,Nonlinear system,Optimal control,Control-Lyapunov function,Nonlinear control,Control theory,Equilibrium point,Control engineering,Process control,Mathematics,Thermodynamic equilibrium | Journal |
Volume | Issue | ISSN |
13 | 4 | 1063-6536 |
Citations | PageRank | References |
5 | 1.58 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tor A. Johansen | 1 | 1008 | 148.90 |
| Daniel Sbarbaro | 2 | 49 | 12.84 |