Mukhopadhyay et al., 2021 - Google Patents
An algorithm for computing robust forward invariant sets of two dimensional nonlinear systemsMukhopadhyay et al., 2021
View PDF- Document ID
- 9218606703255717241
- Author
- Mukhopadhyay S
- Zhang F
- Publication year
- Publication venue
- Asian Journal of Control
External Links
Snippet
Robustness of nonlinear systems can be analyzed by computing robust forward invariant sets (RFISs). Knowledge of the smallest RFIS of a system, can help analyze system performance under perturbations. A novel algorithm is developed to compute an …
- 238000004422 calculation algorithm 0 title abstract description 113
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/13—Differential equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06G—ANALOGUE COMPUTERS
- G06G7/00—Devices in which the computing operation is performed by varying electric or magnetic quantities
- G06G7/12—Arrangements for performing computing operations, e.g. operational amplifiers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Huang et al. | Reachnn: Reachability analysis of neural-network controlled systems | |
Schilling et al. | Verification of neural-network control systems by integrating Taylor models and zonotopes | |
Du et al. | Robust stability of differential-algebraic equations | |
Geng et al. | SSUE: Simultaneous state and uncertainty estimation for dynamical systems | |
Engle et al. | Deterministic symbolic regression with derivative information: General methodology and application to equations of state | |
Mukhopadhyay et al. | An algorithm for computing robust forward invariant sets of two dimensional nonlinear systems | |
Huang et al. | LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data | |
Wang et al. | Leaderless cooperative control of robotic sensor networks for monitoring dynamic pollutant plumes | |
Gao et al. | Second‐Order Consensus for Multiagent Systems under Directed and Switching Topologies | |
Huang et al. | Robust H∞ fuzzy observer‐based tracking control design for a class of nonlinear stochastic Markovian jump systems | |
Wu et al. | Fine-tuned convex approximations of probabilistic reachable sets under data-driven uncertainties | |
Dressel et al. | Tutorial on the generation of ergodic trajectories with projection‐based gradient descent | |
Borot | Blobbed topological recursion | |
Vincent et al. | Reachable polyhedral marching (rpm): An exact analysis tool for deep-learned control systems | |
Huang et al. | On the difficulty of intersection checking with polynomial zonotopes | |
Kririm et al. | Deconvolution filter design of transmission channel: application to 3D objects using features extraction from orthogonal descriptor | |
Touati Brahim et al. | A Constructive Globally Convergent Adaptive Speed Observer For Port‐Hamiltonian Mechanical Systems with Non‐Holonomic Constraints | |
Jiang et al. | Learning grasp ability enhancement through deep shape generation | |
Rostamijavanani et al. | Data-driven modeling of parameterized nonlinear dynamical systems with a dynamics-embedded conditional generative adversarial network | |
Gopalakrishnan Meena et al. | Solving the Hele–Shaw flow using the Harrow–Hassidim–Lloyd algorithm on superconducting devices: A study of efficiency and challenges | |
Crozet et al. | Fast computation of local minimal distances between CAD models for dynamics simulation | |
Zarringhalam et al. | Semisupervised Vector Quantization in Visual SLAM Using HGCN | |
Datar et al. | Solving partial differential equations with sampled neural networks | |
Piegat et al. | Local modeling with local dimensionality reduction: Learning method of mini-models | |
Zhao et al. | Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? |