A fast square root batch least squares algorithm for autoregressive model structures that requires only seven floating point operations per sample per estimated parameter is derived. Memory requirements, as well
In addition, they can avoid computing the matrix inverse and are more suitable for online learning by using recursive least squares (RLS). Based on this work and inspired by the work of Levine et al., we propose a novel minibatch RLS Q-learning algorithm with linear function approximation, ...
To endow the data-driven model based control and optimization strategies with some degree of adaptation capabilities, recursive PLS algorithm is used to update the data-driven model in emulsion polymerization process [17]. Hermanto and coworkers also employed moving window approach to refine the ...
Using the algorithm formulated by Slotine and Li [13], Spong [14] presented the adaptive control results for flexible joint robot manipulators under the assumption of weak joint elasticity, while adaptive motion control for rigid robots was studied by Ortega and Spong in [15]. The adaptive ...
E. Hazan and S. Kale. Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization. COLT, 2011. Y. Nesterov. A method for unconstrained convex minimization problem with the rate of convergence O(1/k2). Doklady AN SSSR, 269(3):543–547, 1983. ...
E. Hazan and S. Kale. Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization. COLT, 2011. Y. Nesterov. A method for unconstrained convex minimization problem with the rate of convergence O(1/k2). Doklady AN SSSR, 269(3):543–547, 1983. ...
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To overcome the large memory expense in the process of on-line identification by utilizing support vector machine(SVM), least squares support vector machine (LS-SVM) was combined with recursive least square(RLS), the weigh vector and bias were adjusted on-line by RLS algorithm, and on-line ...
However, their strict stage partition algorithm neglects the stage-to-stage transiting characteristics, which compromises the accuracy of sub-stage representative monitoring models. Considering the transitional phenomena are very common in industry batch processes, it is significant and promising to ...
0 링크 번역 편집:naiva saeedia2023년 8월 2일 채택된 답변:Torsten Hi..I want to maximize W_C10 which is the mass concentraion of C10 products in a batch Reactor...And what I meant by maximization is W_C10 is going to be greater than all the other W_Ci,...