## Abstract Stochastic adaptive __d__βstepβahead optimal control is analyzed in this paper. An adaptive controller using the least squares (LS) algorithm and an input matching technique is proposed to combine the globally convergent estimation character of the adaptive tracking and optimallyβbased
Optimally sensitive and adaptive control systems
β Scribed by S. D. Weinrich; Leon Lapidus
- Publisher
- American Institute of Chemical Engineers
- Year
- 1971
- Tongue
- English
- Weight
- 991 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0001-1541
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β¦ Synopsis
The sensitivity of optimally controlled systems to parameter variations is examined in this paper. Two general approaches toward compensating for these variations are employed. The first, for open-loop systems, involves augmenting the performance index with sensitivity terms and minimizing this combined index. The second approach. a n adaptive-type controller, involves estimating those parameter variations that have caused an observed state deviation, and adjusting the control policy in response to this measurement. Numerical exomples applied to continuous, discrete-time, and discrete-staged systems demonstrate the effectiveness of these approaches in adapting the control policy to parameter variations.
follows the OAC much closer over the parameter range than do the control variables of Figure 8. This occurs because at the optimum I , = 0 and thus, near this optimum, the performance index is relatively insensitive to control.
π SIMILAR VOLUMES
Several on-line optimizing control strategies were proposed and tested by computer simulation for the efficient operation of bioreactors. The control task was divided into two, one of which was to search for the optimal operating point and passed the set point to the lower layer of which task was to