LITMIR.BIZ

      1 Chapter 1Figure 1.1. Fault diagnosis moduleFigure 1.2. Model-based fault diagnosis strategyFigure 1.3. Residual generation strategyFigure 1.4. Residual generator input–output formFigure 1.5. Parity vector approachFigure 1.6. MIMO parity vectorFigure 1.7. Diagnostic residual observerFigure 1.8. Data-driven fault diagnosisFigure 1.9. Neuron representation exampleFigure 1.10. Nonlinear ARX neural networkFigure 1.11. Example of dynamic neural networkFigure 1.12. Fault diagnosis approach integrationFigure 1.13. Online estimation for fault diagnosis

      2 Chapter 2Figure 2.1. Anaerobic bioreactorFigure 2.2. The referential inputsFigure 2.3. The system output y₁ (t): nominal output, output without FTC and out...Figure 2.4. The system output y2 (t): nominal output, output without FTC and out...Figure 2.5. The real actuator fault and its estimatedFigure 2.6. The real actuator fault and its estimated

      3 Chapter 3Figure 3.1. The structure of the developed RNNFigure 3.2. Robust predictive FT schemeFigure 3.3. Comparison between nonlinear and Takagi–Sugeno response of the syste...Figure 3.4. Actuator faults f _a,1 (a) and f_a,2 (b). For a color version of this ...Figure 3.5. Sensor faults f _s,1 (a) and f_s,2 (b). For a color version of this fi...Figure 3.6. State variables ω_v (a) and ω_h (b). For a color version of this figur...Figure 3.7. State variables ω_v (a) and ω_h (b). For a color version of this figur...Figure 3.8. Main and tail rotor angular position based on FTC and non-FTC (a) as...Figure 3.9. Appropriate control inputs u₁ and u₂. For a color version of this fi...

      4 Chapter 4Figure 4.1. Idea of MPC. For a color version of this figure, see www.iste.co.uk/...Figure 4.2. Neural network with external dynamicsFigure 4.3. Scheme of pneumatic servomechanismFigure 4.4. Modeling: process output (blue-solid) and model output (red-dashed)....Figure 4.5. Uncertainty modeling: process output (black-solid), fundamental mode...Figure 4.6. Control performance for random steps: reference profile (black-dashe...Figure 4.7. Control performance for the ramp signal: reference profile (black-da...Figure 4.8. Control performance for harmonic steps: reference profile (black-das...

      5 Chapter 6Figure 6.1. The quadruple-tank systemFigure 6.2. Virtual actuator results. For a color version of this figure, see ww...Figure 6.3. Virtual sensor results. For a color version of this figure, see www....

      6 Chapter 8Figure 8.1. Key points of sustainable approachFigure 8.2. Link between objectives, overall goals and impactsFigure 8.3. Sustainable control design tasksFigure 8.4. Sustainable design strategy tasks and targets

      1 Chapter 1Table 1.1. Training algorithm examples

      2 Chapter 2Table 2.1. Constant parameter values

      3 Chapter 4Table 4.1. Control results for RNMPCTable 4.2. Control quality

      4 Chapter 6Table 6.1. Model parameters

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