A5058590941- Advanced Control Systems Optimization
- Traffic control and management
- Autonomous Vehicle Technology and Safety
- Formal Methods in Verification
- Adaptive Control of Nonlinear Systems
- Reinforcement Learning in Robotics
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Transportation and Mobility Innovations
- Vehicular Ad Hoc Networks (VANETs)
- Robotic Path Planning Algorithms
- Vehicle Dynamics and Control Systems
- Real-time simulation and control systems
- Adversarial Robustness in Machine Learning
- Real-Time Systems Scheduling
- Transportation Planning and Optimization
- Adaptive Dynamic Programming Control
- Petri Nets in System Modeling
- Machine Learning and Algorithms
- Microbial Community Ecology and Physiology
- Machine Fault Diagnosis Techniques
- Teleoperation and Haptic Systems
- Advanced Sensor and Control Systems
- Rice Cultivation and Yield Improvement
- Guidance and Control Systems
Institute of Technology of Cambodia
2025
Xiamen University
2016-2025
Hunan University of Traditional Chinese Medicine
2024-2025
Massachusetts Institute of Technology
2022-2024
Tianjin University of Technology and Education
2024
Boston University
2018-2022
Shenzhen University Health Science Center
2022
Center for Systems Biology
2018-2021
Southern Medical University
2021
Systems Technology (United States)
2020
This paper extends control barrier functions (CBFs) to high order (HOCBFs) that can be used for relative degree constraints. The proposed HOCBFs are more general than recently (exponential) HOCBFs. We introduce (HOBFs), and show their satisfaction of Lyapunov-like conditions implies the forward invariance intersection a series sets. then HOCBF, any input satisfies HOCBF constraint renders sets invariant. formulate optimal problems with constraints given by Lyapunov (CLF), provide promising...
We approach the problem of stabilizing a dynamical system while optimizing cost and satisfying safety constraints control limitations. For (nonlinear) affine systems quadratic costs, it has been shown that barrier functions (CBFs) guaranteeing Lyapunov (CLFs) enforcing convergence can be used to (conservatively) reduce optimal sequence programs (QPs). Existing works in this category have two main First, with one exception, they are based on assumption relative degree respect function...
It has been shown that optimizing quadratic costs while stabilizing affine control systems to desired (sets of) states subject state and constraints can be reduced a sequence of programs (QPs) by using barrier functions (CBFs) Lyapunov (CLFs). In this article, we introduce adaptive CBFs (aCBFs) accommodate time-varying bounds noise in the system dynamics also guaranteeing feasibility QPs if original cost optimization problem itself is feasible, which challenging current approaches. We...
Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the learned models control using differentiable barrier functions (dCBFs). dCBFs are end-to-end trainable and guarantee safety. They improve over classical (CBFs), which usually overly conservative. Our dCBF solution relaxes CBF definitions by: 1) environmental dependencies; 2) embedding them into quadratic programs. These novel layers called...
Abstract To test the hypothesis that particle composition has a stronger influence on community structure of particle‐attached than free‐living bacteria, elemental (C/N, δ 13 C, and 15 N) chemical particles size‐fractionated bacterial were examined along density gradient from Pearl River to open basin in South China Sea. Microbial communities collected at three size fractions 0.2–0.8, 0.8–3, >3 µm, was analyzed using high‐throughput sequencing 16S rRNA gene (V3–V4 regions). Multivariate...
We develop optimal control strategies for Autonomous Vehicles (AVs) that are required to meet complex specifications imposed by traffic laws and cultural expectations of reasonable driving behavior. formulate these as rules, specify their priorities constructing a priority structure, called <u>T</u>otal <u>OR</u>der over e<u>Q</u>uivalence classes (TORQ). propose recursive framework, in which the satisfaction rules structure iteratively relaxed based on priorities. Central this framework is...
A growth trial was conducted to feed juvenile tilapia (initial weight, 9.1±0.1 g), Oreochromis niloticus×O. aureus, isonitrogenous diets for 8 weeks. Six were formulated containing 29% crude protein from casein and gelatin, 10% fat soybean oil refined lecithin varying levels of corn starch ranging 6% 46% at increments 8%, with corresponding energy (E/P) ratios 35.6, 37.9, 40.2, 42.5, 44.8 47.1 kJ g−1. Weight gain (WG), specific rate, efficiency ratio significantly higher in fish fed ≥22% (or...
We address the problem of optimally controlling Connected and Automated Vehicles (CAVs) arriving from four multi-lane roads at a signal-free intersection where they conflict in terms safely crossing (including turns) with no collision. The objective is to jointly minimize travel time energy consumption each CAV while ensuring safety. This was solved prior work for single-lane roads. A direct extension multiple lanes on road limited by computational complexity required obtain an explicit...
During the transportation, storage, and processing of safflower, it is susceptible to contamination by microorganisms, which may seriously affect quality safety flowers. Therefore, sterilization an important step in ensuring safety, quality, stability safflower products. In this study, headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) was utilized compare volatile organic compounds (VOCs) samples before after with three nonthermal technologies (60Co irradiation...
Growing imperative for intelligent transformation of electro-ionic actuators in soft robotics has necessitated self-perception accurately mapping their nonlinear dynamic responses. Despite the promise integrating crack-based strain sensors such a purpose, significant challenges remain controlling crack propagation to prevent induction through-cracks, resulting lower sensitivity, linearity, and poor detection limits. Herein, we propose hierarchical synergistic enhancement structure by...
In response to the increasing demands for energy conservation and pollution reduction, optimizing transformer design reduce operational losses minimize raw material usage has become crucial. This paper introduces an innovative methodology that combines ensemble learning models with hybrid multi-objective optimization heuristic algorithms optimize leakage impedance deviation, on-load loss, consumption in power transformers. The stacking model uses support vector machines, linear regression,...
In this paper, we aim to optimize the process of Connected and Automated Vehicles (CAVs) merging at a traffic intersection while guaranteeing state, control safety constraints. We decompose task automatic for all CAVs in zone around point into same-lane constraints different-lane safe merging, implement these requirements using barrier functions (CBFs). consider two main objectives. First, minimize travel time, make reach road maximum speed with exponentially stabilizing Lyapunov (CLF)....
This paper addresses the optimal control of Connected and Automated Vehicles (CAVs) arriving from two roads at a merging point where objective is to jointly minimize travel time energy consumption each CAV. The solution guarantees that speed-dependent safety constraint always satisfied, both everywhere within zone which precedes it. We first analyze case no active constraints prove under certain conditions remains inactive, thus significantly simplifying determination an explicit...
Recent work has shown that stabilizing an affine control system to a desired state while optimizing quadratic cost subject and constraints can be reduced sequence of Quadratic Programs (QPs) by using Control Barrier Functions (CBFs) Lyapunov (CLFs). In our own recent work, we defined High Order CBFs (HOCBFs) for systems with arbitrary relative degrees. this paper, in order accommodate initial states do not satisfy the degree, generalize HOCBFs Lyapunov-Barrier (HOCLBFs). We also show...
This paper addresses the problem of safety-critical control for multi-agent systems with unknown dynamics in environments. It has been shown that stabilizing affine to desired (sets of) states while optimizing quadratic costs subject state and constraints can be reduced a sequence programs (QPs) by using Control Barrier Functions (CBFs) Lyapunov (CLFs). One main challenges this approach is obtaining accurate system all components system, which especially difficult when online model...
We consider the problem of controlling Connected and Automated Vehicles (CAVs) traveling through a roundabout so as to jointly minimize their travel time, energy consumption, centrifugal discomfort while providing speed-dependent lateral roll-over safety guarantees, well satisfying velocity acceleration constraints. first develop systematic approach determine constraints for each CAV dynamically, it moves different merging points in roundabout. then derive unconstrained optimal control...