Sixing Zhang

ORCID: 0000-0001-6696-2438
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Phase Change Materials Research
  • Fault Detection and Control Systems
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Stability and Control of Uncertain Systems
  • Guidance and Control Systems
  • Adsorption and Cooling Systems
  • Dynamics and Control of Mechanical Systems
  • Solar-Powered Water Purification Methods
  • Iterative Learning Control Systems
  • Robotic Path Planning Algorithms
  • Silicon Carbide Semiconductor Technologies
  • Fuzzy Systems and Optimization
  • Solar Thermal and Photovoltaic Systems
  • Model Reduction and Neural Networks
  • Astro and Planetary Science
  • Probabilistic and Robust Engineering Design
  • Neural Networks Stability and Synchronization
  • Thermal properties of materials
  • Flame retardant materials and properties
  • Industrial Technology and Control Systems
  • Electromagnetic Launch and Propulsion Technology
  • Aerospace Engineering and Control Systems

North China Electric Power University
2024

Beijing Information Science & Technology University
2024

China Electric Power Research Institute
2024

South China University of Technology
2023-2024

Beijing Institute of Technology
2018-2023

This article introduces an alternative characterization, together with indirect computation and implicit representation, of the maximal positively invariant set for nonlinear dynamics closed constraints. The introduced computation, representation are novel features that, when combined together, overcome successfully dimensionality related limitations standard explicit set. proposed approach enables, via adequate numerical implementation, utilization in arbitrary finite dimensions from a...

10.1109/tac.2022.3209492 article EN IEEE Transactions on Automatic Control 2022-10-26

In this study, the authors propose an adaptive model predictive control (MPC) algorithm for constrained linear systems in state space subject to uncertain parameters and disturbances. An iterative set membership identification is first presented update parameter at each time step. Based on shrunken set, MPC controller then designed robustly stabilise input constraints. The can efficiently reduce size of min–max setting, therefore improve performance. proved ensure constraint satisfaction,...

10.1049/iet-cta.2019.0273 article EN IET Control Theory and Applications 2019-07-03

This note revisits the equi–normalization process of robust positively invariant sets so as to enable its use for more general disturbance and provide a systematic, dynamically compatible, computationally inexpensive design collections points that generate equi–normalized sets.

10.1109/tac.2024.3399091 article EN IEEE Transactions on Automatic Control 2024-05-09

10.1016/j.jfranklin.2018.10.021 article EN Journal of the Franklin Institute 2018-12-20

This paper proposes a locally convexified rigid tube model predictive control for obstacle avoidance linear, discrete-time, systems subject to additive, bounded disturbances and state constraints. The inherently nonconvex constraints are converted into closed polyhedral by deploying recent notions of safe sets tubes. proposed method leverages these tubes reformulate the original optimization problem within context computationally highly efficient, strictly convex quadratic programming...

10.1049/cth2.12382 article EN cc-by-nc-nd IET Control Theory and Applications 2022-11-02

Summary An adaptive interpolating control (AIC) algorithm is proposed for constrained linear systems with parametric uncertainty and additive disturbance. This consists of an iterative set membership identification algorithm, which updates the uncertain parameter at each time step, controller, robustly stabilizes system state input constraints. We prove that AIC recursively feasible guarantees robust constraint satisfaction asymptotic stability closed‐loop in presence uncertainties....

10.1002/rnc.5140 article EN International Journal of Robust and Nonlinear Control 2020-09-01

This article considers model predictive control (MPC) for linear systems under relaxed constraints. The main novelty of our proposal is the introduction, and an adequate use, terminal dynamics slack variable associated with proposed MPC constraints retains computational efficiency traditional MPC, while it guarantees positive invariance exponential stability over enlarged domain attraction. design method also illustrated in a step-by-step manner by academic example.

10.1109/tac.2021.3137085 article EN IEEE Transactions on Automatic Control 2021-12-21

10.1109/tac.2024.3468093 article EN IEEE Transactions on Automatic Control 2024-01-01

Thermochemical heat storage technology has great development prospects due to its high energy density and stable long-term capacity. The calcium hydroxide/calcium oxide reaction been proven be feasible for thermochemical storage. However, low thermal conductivity, the slow in fixed-bed reactor needs improved. In this work, Y-shaped fin was used improve performance, a multi-physics numerical model established process fixed bed. results show that can accelerate improved transfer inside...

10.3390/buildings14113694 article EN cc-by Buildings 2024-11-20

This manuscript proposes a model predictive control for collision avoidance the regulation problem of deterministic linear systems, which provides priori guarantees strong system theoretic properties, such as positive invariance and asymptotic stability, high computational efficiency. Notion safe distance sets is introduced, also utilized novel approach to ensure via suitably defined convex constraints. The proposed obtained by employing interactive strategic-tactical structure overall...

10.1049/cth2.12121 article EN cc-by IET Control Theory and Applications 2021-03-22

This article creates a numerical platform for practical utility of the recently introduced theoretical framework robust Minkowski– Lyapunov functions. The paper derives systems affine inequalities and equalities whose feasibility verifies nature polyhedral Minkowski functions with respect to inequality. theoretically exact verification inequality in setting is reduced stage linear programme. topological flexibility proposed methods illustrated by two examples.

10.1109/tac.2023.3307529 article EN IEEE Transactions on Automatic Control 2023-08-22

The problem of formation reconfiguration for multiple spacecraft is discussed in the presence external disturbances. To achieve H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance, an elaborate task function designed by using null-space based behavioral control method, then a predesigned desired velocity calculated each spacecraft. By employing variable structure technique associated with universal approximation property radial...

10.23919/chicc.2018.8483434 article EN 2018-07-01
Coming Soon ...