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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lin, Z. Saberi, A. Sannuti, P. Shamash, Y. A. |
| Copyright Year | 1998 |
| Abstract | For discrete-time systems, an H $_{2}$-suboptimal control problem is defined and analyzed. Then, an algorithm called H $_{2}$-suboptimal state feedback gain sequence (Algorithm A1) is developed. Rather than utilizing a perturbation method, which is numerically stiff and computationally prohibitive, Algorithm A1 utilizes a direct eigenvalue assignment method to come up with a sequence of H $_{2}$-suboptimal state feedback gains. Also, although the sequence of H $_{2}$-suboptimal state feedback gains constructed by Algorithm A1 depends on a parameter ɛ, the construction procedure itself does not require explicitly the value of the parameter ɛ. Next, attention is focused on constructing a sequence of H $_{2}$-suboptimal estimator-based measurement feedback controllers. Three different estimator structures (prediction, current, and reduced-order estimators) are considered. For a given H $_{2}$-suboptimal state feedback gain, a sequence of estimator gains for any of the three estimators considered can be constructed by merely dualizing Algorithm A1. The direct method of constructing H $_{2}$-suboptimal controllers developed here has a number of advantages over the perturbation method, e.g., it has the ability to design all three types of estimator-based controllers while still maintaining throughout the design the computational simplicity of it. This paper is the discrete-time version of Ref. 1. There are some conceptual similarities as well as fundamental differences between the H $_{2}$-suboptimal control problems for continuous-time and discrete-time systems. The fundamental differences arise mainly from the fact that, in contrast to continuous-time systems, for discrete-time systems the infimum of the H $_{2}$-norm over the class of strictly proper controllers is in general different from the infimum of the H $_{2}$-norm over the class of proper controllers. |
| Starting Page | 617 |
| Ending Page | 653 |
| Page Count | 37 |
| File Format | |
| ISSN | 00223239 |
| Journal | Journal of Optimization Theory and Applications |
| Volume Number | 99 |
| Issue Number | 3 |
| e-ISSN | 15732878 |
| Language | English |
| Publisher | Kluwer Academic Publishers-Plenum Publishers |
| Publisher Date | 1998-01-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Theory of Computation Applications of Mathematics Optimization Calculus of Variations and Optimal Control Engineering Operation Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Control and Optimization Management Science and Operations Research |
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