Fuzzy observers for anaerobic WWTP: Development and implementation

An adaptive observer for operation monitoring of anaerobic digestion wastewater treatment

“…Previous estimation schemes have been mainly proposed to attend state estimation/reconstruction via measurements under specific situations (e.g., robustness in face to uncertainties at the initial conditions, the process kinetics, or the input concentration and parameter). Examples of these contributions are in order: (i) classical approaches based on adaptive schemes for the state estimation [5], (ii) asymptotic [6] and interval observers [7] and recently (iii) fuzzy observers [8] and adaptive high gain observers [9]. A very comprehensive survey about this topic was presented by Dochain in 2003 [10], where a wide motivation for designing new estimation schemes is discussed to solve current challenges such as the timely state and parameter estimation for AD processes.…”

Takagi‐Sugeno tracking control of a fermentation process with respect to asymmetric constraints

“…Takagi‐Sugeno (T‐S) fuzzy technique has been recognized as an effective tool for handling the difficult problem in the nonlinear systems. Thus, it has been widely used to study problems of modeling, identification, observation, and control (adaptive, predictive, robust, optimal, parallel distributed compensation (PDC), fault tolerant control, and so on) of various biological processes …”

“…Thus, it has been widely used to study problems of modeling, identification, observation, and control (adaptive, predictive, robust, optimal, parallel distributed compensation (PDC), fault tolerant control, and so on) of various biological processes. [2][3][4][5][6][7][8][9][10][11] In this work, we consider a problem of trajectory tracking control of a fermentation process and we are particularly interested in taking into account the constraints in the control. The constraints are very important in practical situations to keep the physical and biological meaning, such as the positivity of the concentrations and boundness of variables.…”

Numerical Study of Anaerobic Digestion Processes and Biogas Generation from Fruit and Vegetable Waste

“…Those biochemical processes are very complex and difficult to operate into the optimum conditions because numerous parameters must be taken into consideration and be controlled [3]. Additionally, some parameters are difficult to estimate due to technical or economic constraints, i.e., the substrate consumption measurement is expensive, needs three hours and to be done off-line [4]. In this respect, mathematical modeling and computer simulation are a good tool for these purposes.…”