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| Content Provider | IET Digital Library |
|---|---|
| Author | Agahi, Hamed Yazdanpanah, Mohammad Javad |
| Abstract | Monotone dynamical systems are those with solutions preserving specific orderings, relative to the associated initial states. This study shows that, under negative output feedback control, a monotone single-input single-output system with well-defined static characteristics is able to globally asymptotically regulate its solution at desired constant set-points, while the boundedness of all solutions are successfully guaranteed. This valuable result is obtained only through limited amount of qualitative and quantitative data, which may be provided from relatively simple experiments for real applications. The design procedure, in the cast of a new theorem, is mainly derived from the specific version of Small Gain Theorem for autonomous monotone systems; which ensures the global attractivity of the desired set-point. A biological simulation example illustrates the effectiveness and applicability of the proposed control strategy. |
| Starting Page | 447 |
| Ending Page | 454 |
| Page Count | 8 |
| ISSN | 17518644 |
| Volume Number | 7 |
| e-ISSN | 17518652 |
| Issue Number | Issue 3, Feb (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/7/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2012.0608 |
| Journal | IET Control Theory & Applications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Autonomous Monotone System Biological And Medical Control System Biological Simulation Biology Constant Set-points Control System Analysis Control System Synthesis Design Procedure Feedback Global Attractivity MIMO System Monotone Dynamical System Monotone Small-gain Theorem Multivariable Control System Negative Output Feedback Control Qualitative Data Quantitative Data Set-point Regulation Single-input Single-output System Static Characteristic Synthesis Method |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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