Advances in Nonlinear Predictive Control: A Survey on Stability and Optimality
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Kwon, Wook-Hyun
(Control Information Systems Lab., School of Electrical Engineering and Computer Science, Seoul National University)
Han, Soo-Hee (Control Information Systems Lab., School of Electrical Engineering and Computer Science, Seoul National University) Ahn, Choon-Ki (Control Information Systems Lab., School of Electrical Engineering and Computer Science, Seoul National University) |
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Automated nonlinear model predictive control using genetic programming
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DOI |
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Application of recurrent neural networks in batch reactors: Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature
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DOI ScienceOn |
| 3 |
Constrained model predictive control Stability and optimality
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DOI ScienceOn |
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Advances in nonlinear programming concepts for process control
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DOI ScienceOn |
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Model predictive control of nonlinear systems : Computational burden and stability
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DOI ScienceOn |
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Recent advances in model predictive control and other related areas
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Stability margins of nonlinear receding horizon control via inverse optimality
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DOI ScienceOn |
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Robust receding horizon control of constrained non-linear systems
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DOI ScienceOn |
| 9 |
Dual receding horizon control of constrained discretetime systems
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DOI |
| 10 |
Nonlinear model predictive control An assessment
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| 11 |
Receding horizon control of nonlinear systems
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DOI ScienceOn |
| 12 |
An overview of industrial model predictive control technology
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| 13 |
Unconstrained receding-horizon control of nonlinear systems
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DOI ScienceOn |
| 14 |
Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: stability and moving-horizon approximation
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DOI ScienceOn |
| 15 |
Receding horizon control of nonlinear systems without differentiability of optimal value function
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DOI ScienceOn |
| 16 |
Toward infinite-horizon optimality in nonlinear model predictive control
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DOI ScienceOn |
| 17 |
Receding horizon control and discontinuous state feedback stabilization
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DOI ScienceOn |
| 18 |
On the robustness of receding-horizon control with tenninal constraints
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DOI ScienceOn |
| 19 |
Suboptimal model predictive control (feasibility implies stability)
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DOI ScienceOn |
| 20 |
Developing a robust model predictive control architecture through regional knowledge analysis of artificial neural networks
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DOI ScienceOn |
| 21 |
Stability of a truncated infinite constrained receding horizon control scheme : The general discrete nonlinear case
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DOI ScienceOn |
| 22 |
A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
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DOI ScienceOn |
| 23 |
A receding-horizon regulator for nonlinear systems and a neural approximation
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DOI ScienceOn |
| 24 |
A stabilizing model-based predictive control for nonlinear systems
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DOI ScienceOn |
| 25 |
On stabilizing receding horizon control for nonlinear discrete time systems
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| 26 |
Stability and robustness of nonlinear receding horizon control
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| 27 |
Estimating quadratic stability domains by nonsmooth optimization
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| 28 |
Stabilizing receding-horizon control of nonlinear time-varying systems
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DOI ScienceOn |
| 29 |
An overview of industrial model predictive control technology
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DOI ScienceOn |
| 30 |
Stabilizing nonlinear receding horizon control via a nonquadratic penalty
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| 31 |
Receding horizon <TEX>$H_{\infty}$</TEX> Predictive control for systems with input saturations
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DOI ScienceOn |
| 32 |
Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems
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| 33 |
A scheduling quasi min max model predictive control algorithm for nonlinear systems
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DOI ScienceOn |
| 34 |
Min-max receding horizon control of constrained, piecewise affine systems
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| 35 |
A receding horizon approach to the nonlinear <TEX>$H_{\infty}$</TEX> control problem
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DOI ScienceOn |
| 36 |
A game theoretic approach to nonlinear robust receding horizon control of constrained systems
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| 37 |
Enlargenment of polytopc tenriinal region in NMPC by interpolation and partial invariance
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DOI ScienceOn |
| 38 |
A receding horizon control Lyapunov function approach to suboptimal regulation of nonlinear systems
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DOI ScienceOn |
| 39 |
A receding horizon generalization of pointwise min-norm controllers
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DOI ScienceOn |
| 40 |
Receding horizon <TEX>$H_{\infty}$</TEX> control for nonlinear discrete-time systems
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| 41 |
Stabilizing receding horizon control of nonlinear systems A control lyapunov function approach
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| 42 |
Receding Horizon Control of Nonlinear Systems Control Lyapunov Function Approach
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| 43 |
Mm-max model predictive control of nonlinear systems using discontinuous feedbacks
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DOI |
| 44 |
Optimization in model based control
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| 45 |
A computationally efficient nonlinear MPC algorithm
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| 46 |
Suboptimal control of constrained nonlinear systems via receding horizon constrained control Lyapunov functions
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DOI ScienceOn |
| 47 |
Moving horizon control of nonlinear systems with input saturation, disturbances and plant uncertainty
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DOI ScienceOn |
| 48 |
Optimization in model based control
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| 49 |
Improving the efficiency of multiparametric quadratic programming
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| 50 |
A recursive method of optimization for nonlinear predictive control
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| 51 |
Nonlinear model predictive control with polytopic invariant sets
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DOI ScienceOn |
| 52 |
Heuristic on-line tuning for nonlinear model predictive controllers using fuzzy logic
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DOI ScienceOn |
| 53 |
Application of recurrent neural networks in batch reactors: Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature
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DOI ScienceOn |
| 54 |
Model predictive satisficing fuzzy logic control
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DOI ScienceOn |
| 55 |
Model predictive control using fuzzy decision functions
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DOI ScienceOn |
| 56 |
Computationally efficient scheduled model predictive control for constrained nonlinear systems with stability guarantees
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| 57 |
A note on stability, robustness and performance of output feedback nonlinear model predictive control
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DOI ScienceOn |
| 58 |
Output feedback Model Predictive Control of nonlinear discrete-time systems: regional and global results
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| 59 |
Grouped neural network model-predictive control
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DOI ScienceOn |
| 60 |
Automated nonlinear model predictive control using genetic programming
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DOI |
| 61 |
Advances in predictive control : theory and application
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| 62 |
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