Chengpu Yu
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Author Swipe
View article: Characterizations of sidewall recombination behaviors of AlGaInP red light-emitting diodes with micron-scale mesa size by steam oxidation
Characterizations of sidewall recombination behaviors of AlGaInP red light-emitting diodes with micron-scale mesa size by steam oxidation Open
We report size and oxidation temperature-dependent performance optimization of sidewall steam oxidation for AlGaInP red micro-light-emitting diodes (µLEDs). Devices with mesa sizes from 100 × 100 μm 2 down to 5 × 5 μm 2 were fabricated. Ou…
View article: Neural network-based identification of state-space switching nonlinear systems
Neural network-based identification of state-space switching nonlinear systems Open
We design specific neural networks (NNs) for the identification of switching nonlinear systems in the state-space form, which explicitly model the switching behavior and address the inherent coupling between system parameters and switching…
View article: An Opposite Trend in Electrical Conductivity between Carbon Black and Carbon Nanotubes after Heat Treatments: A Geometric Factor Controlled Electronic Structures
An Opposite Trend in Electrical Conductivity between Carbon Black and Carbon Nanotubes after Heat Treatments: A Geometric Factor Controlled Electronic Structures Open
View article: An Opposite Trend in Electrical Conductivity between Carbon Black and Carbon Nanotubes after Heat Treatments: A Geometric Factor Controlled Electronic Structures
An Opposite Trend in Electrical Conductivity between Carbon Black and Carbon Nanotubes after Heat Treatments: A Geometric Factor Controlled Electronic Structures Open
View article: Identification of non-causal systems with arbitrary switching modes
Identification of non-causal systems with arbitrary switching modes Open
We consider the identification of non-causal systems with arbitrary switching modes (NCS-ASM), a class of models essential for describing typical power load management and department store inventory dynamics. The simultaneous identificatio…
View article: Key node identification for a network topology using hierarchical comprehensive importance coefficients
Key node identification for a network topology using hierarchical comprehensive importance coefficients Open
Key nodes are similar to important hubs in a network structure, which can directly determine the robustness and stability of the network. By effectively identifying and protecting these critical nodes, the robustness of the network can be …
View article: Special issue on system identification and estimation
Special issue on system identification and estimation Open
View article: Key node identification for a network topology using hierarchical comprehensive importance coefficients
Key node identification for a network topology using hierarchical comprehensive importance coefficients Open
Key nodes are similar to important hubs in a network structure, which can directly determine the robustness and stability of the network. By effectively identifying and protecting these critical nodes, the robustness of the network can be …
View article: Inverse Optimal Control for Linear Quadratic Tracking with Unknown Target States
Inverse Optimal Control for Linear Quadratic Tracking with Unknown Target States Open
This paper addresses the inverse optimal control for the linear quadratic tracking problem with a fixed but unknown target state, which aims to estimate the possible triplets comprising the target state, the state weight matrix, and the in…
View article: Distributed Identification of Stable Large-Scale Isomorphic Nonlinear Networks Using Partial Observations
Distributed Identification of Stable Large-Scale Isomorphic Nonlinear Networks Using Partial Observations Open
Distributed parameter identification for large-scale multi-agent networks encounters challenges due to nonlinear dynamics and partial observations. Simultaneously, ensuring the stability is crucial for the robust identification of dynamic …
View article: Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network Open
The study of the multi-agent task allocation problem with multiple depots is crucial for investigating multi-agent collaboration. Although many traditional heuristic algorithms can be adopted to handle the concerned task allocation problem…
View article: Sparse plus low-rank identification for dynamical latent-variable graphical AR models
Sparse plus low-rank identification for dynamical latent-variable graphical AR models Open
This paper focuses on the identification of graphical autoregressive models with dynamical latent variables. The dynamical structure of latent variables is described by a matrix polynomial transfer function. Taking account of the sparse in…
View article: TDLE: 2-D LiDAR Exploration With Hierarchical Planning Using Regional Division
TDLE: 2-D LiDAR Exploration With Hierarchical Planning Using Regional Division Open
Exploration systems are critical for enhancing the autonomy of robots. Due to the unpredictability of the future planning space, existing methods either adopt an inefficient greedy strategy or require a lot of resources to obtain a global …
View article: Artificial Intelligence Security in Multiple-Unmanned System Cooperation
Artificial Intelligence Security in Multiple-Unmanned System Cooperation Open
Multiple unmanned system cooperation is an important component of China’s new-generation artificial intelligence (AI) planning and it is a transformative technology for future national defense construction and social development of China. …
View article: Distributed Fault Detection for Linear Time-Varying Multi-Agent Systems With Relative Output Information
Distributed Fault Detection for Linear Time-Varying Multi-Agent Systems With Relative Output Information Open
This paper investigates the distributed fault detection problem for linear discrete time-varying heterogeneous multi-agent systems under relative output information. Due to the lack of absolute outputs, an augmented model is built by stack…
View article: Identification of affinely parameterized state–space models with unknown inputs
Identification of affinely parameterized state–space models with unknown inputs Open
The identification of affinely parameterized state–space system models is quite popular to model practical physical systems or networked systems, and the traditional identification methods require the measurements of both the input and out…
View article: A Federated Derivative Cubature Kalman Filter for IMU-UWB Indoor Positioning
A Federated Derivative Cubature Kalman Filter for IMU-UWB Indoor Positioning Open
The inertial measurement unit and ultra-wide band signal (IMU-UWB) combined indoor positioning system has a nonlinear state equation and a linear measurement equation. In order to improve the computational efficiency and the localization p…
View article: Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS) Open
In this article, a unified identification framework called constrained subspace method for structured state-space models (COSMOS) is presented, where the structure is defined by a user-specified linear or polynomial parametrization. The ne…
View article: Affinely Parametrized State-space Models: Ways to Maximize the Likelihood Function
Affinely Parametrized State-space Models: Ways to Maximize the Likelihood Function Open
Using Maximum Likelihood (or Prediction Error) methods to identify linear state space model is a prime technique. The likelihood function is a nonconvex function and care must be exercised in the numerical maximization. Here the focus will…
View article: Gray Box Identification Using Difference of Convex Programming
Gray Box Identification Using Difference of Convex Programming Open
Gray-box identification is prevalent in modeling physical and networked systems. However, due to the non-convex nature of the gray-box identification problem, good initial parameter estimates are crucial for a successful application. In th…
View article: Subspace Identification of Large-Scale 1D Homogeneous Networks
Subspace Identification of Large-Scale 1D Homogeneous Networks Open
This paper considers the identification of large-scale 1D networks consisting of identical LTI dynamical systems. A new subspace identification method is developed that only uses local input-output information and does not rely on knowledg…
View article: Gray Box Identification of State-Space Models Using Difference of Convex Programming
Gray Box Identification of State-Space Models Using Difference of Convex Programming Open
Gray-box identification is prevalent in modeling physical and networked systems. However, due to the non-convex nature of the gray-box identification problem, good initial parameter estimates are crucial for a successful application. In th…
View article: Quantized identification of ARMA systems with colored measurement noise
Quantized identification of ARMA systems with colored measurement noise Open
View article: Blind multivariable ARMA subspace identification
Blind multivariable ARMA subspace identification Open
In this paper, we study the deterministic blind identification of multiple channel state-space models having a common unknown input using measured output signals that are perturbed by additive white noise sequences. Different from traditio…
View article: Identification of structured LTI MIMO state-space models
Identification of structured LTI MIMO state-space models Open
The identification of structured state-space model has been intensively studied for a long time but still has not been adequately addressed. The main challenge is that the involved estimation problem is a non-convex (or bilinear) optimizat…
View article: Local Subspace Identification of Distributed Homogeneous Systems With General Interconnection Patterns
Local Subspace Identification of Distributed Homogeneous Systems With General Interconnection Patterns Open
This paper studies the local identification of large-scale homogeneous systems
with general network topologies. The considered local system identification problem involves unmeasurable signals between neighboring subsystems. Compared w…
with general network topologies. The considered local system identification problem involves unmeasurable signals between neighboring subsystems. Compared w…
View article: Subspace Identification of Local 1D Homogeneous Systems
Subspace Identification of Local 1D Homogeneous Systems Open
This paper studies the local subspace identification of 1D homogeneous networked systems. The main challenge lies at the unmeasurable interconnection signals between neighboring subsystems. Since there are many unknown inputs to the concer…