In this paper, the problem of state estimation of a bioreactor containing a single substrate and several competing species is studied. This scenario is well-known as the competition model, in which multiple species compete for a single limiting nutrient. Considering the total biomass to be the only available measurement, the challenge is to estimate the concentration of the whole state vector. To achieve this goal, the estimation scheme is built by the coupling of two estimation techniques: an asymptotic observer, which depends solely on the operating conditions of the bioreactor, and a finite-time parameter estimation technique, which drops the usual requirement of the persistence of excitation. The presented methodology achieves the estimation of each competing species and a numerical example illustrates the intended application.

在本文中，研究了包含一个底物和几个竞争物种的生物反应器的状态估计问题。这种情况被称为竞争模型，其中多个物种争夺一种限制性营养素。考虑到总生物量是唯一可用的度量，挑战在于估计整个状态向量的浓度。为了实现此目标，通过两种估算技术的结合来构建估算方案：仅依赖于生物反应器操作条件的渐近观测器，以及降低了持久性通常要求的有限时间参数估算技术。激发。所提出的方法实现了每个竞争物种的估计，并且一个数字示例说明了预期的应用。