NSTL国家科技图书文献中心

1. Adaptive projected SOR algorithms for nonnegative quadratic programming NSTL国家科技图书文献中心

Miyatake, Yuto | Sogabe, Tomohiro - 《Japan journal of industrial and applied mathematics》 - 2025,42(1) - 373～397 - 共25页

摘要： nonnegative quadratic* programming problems is problem* | The choice of relaxation parameter in the | projected successive overrelaxation (PSOR) method for | -dependent. We present novel adaptive PSOR algorithms that | adaptively control the relaxation parameter using the Wolfe

关键词： SOR method | Nonnegative quadratic programming | Nonnegative constrained least squares | Linear complementarity problem

2. Quadratic Programming Problems and Its Solution Techniques With Neural Network Modeling NSTL国家科技图书文献中心

Sah, Mintu Kumar | Varma, Neha ... - 《Optimal Control Applications and Methods》 - 2025,46(2) - 766～774 - 共9页

摘要：This paper presents a study on quadratic | programming problems (QPP) and introduces a new neural | network model with feasibility analysis. The stability | analysis of QPP using neural network modeling is also | discussed. The proposed neural network model has a simple

关键词： neural network | quadratic programming problems | stability analysis

3. Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time NSTL国家科技图书文献中心

Mingxuan,Sun | Yu,Zhang ... - 《Neural computing & applications》 - 2025,37(8) - 6067～6084 - 共18页

摘要： convex quadratic* programming. Two techniques for* | applied to solve an example of time-variant quadratic | programming, and the repetitive motion planning of redundant | Recurrent neural networks (RNNs) are well | established with comprehensive models capable of solving

关键词： Recurrent neural networks | Activation functions | Finite-time convergence | Time-variant quadratic programming

4. An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks NSTL国家科技图书文献中心

Adeyemi D. Adeoye | Alberto Bemporad - 《IEEE transactions on neural networks and learning systems》 - 2025,36(2) - 2762～2776 - 共15页

摘要： quadratic programming framework for recurrent neural | problem and study the quadratic* programming (QP* | This article considers the two-stage approach | to solving a partially observable Markov decision | process (POMDP): the identification stage and the

关键词： Training | Recurrent neural networks | Optimization | Neural networks | Quadratic programming | Process control | Prediction algorithms

5. A novel economy analysis for advancing CO_2 capture efficiency of post combustion using sequential quadratic programming (SQP) optimization methodology NSTL国家科技图书文献中心

Yindi Zhang | Shadrack Adjei Takyi ... - 《Energy》 - 2025,315(Jan..15) - 134287.1～134287.14 - 共14页

摘要： through the application of sequential quadratic | programming (SQP) optimization methodology. A CO_2 capture | This study presents a novel comprehensive cost | analysis model aimed at evaluating the economic viability | of post-combustion carbon capture (PCC) processes

关键词： Economy analysis | Sequential quadratic programming (SQP) | Optimization methodology | CO_2 capture efficiency | Thermal energy | CCUS

6. A stable method for task priority adaptation in quadratic programming via reinforcement learning NSTL国家科技图书文献中心

Andrea Testa | Marco Laghi ... - 《Robotics and Computer Integrated Manufacturing》 - 2025,91(Feb.) - 102857.1～102857.15 - 共15页

摘要：-strict hierarchical Quadratic* Programming (QP* | In emerging manufacturing facilities, robots | must enhance their flexibility. They are expected to | perform complex jobs, showing different behaviors on the | need, all within unstructured environments, and

关键词： Optimization and optimal control | Reinforcement learning | Machine learning for robot control

7. Real-Time Mixed-Integer Quadratic Programming for Vehicle Decision-Making and Motion Planning NSTL国家科技图书文献中心

Rien Quirynen | Sleiman Safaoui ... - 《IEEE transactions on control systems technology》 - 2025,33(1) - 77～91 - 共15页

摘要： programming-based decision-making (MIP-DM) system for | mixed-integer quadratic* program (MIQP). The proposed* | We develop a real-time feasible mixed-integer | automated driving (AD). Using a linear vehicle model in a | road-aligned coordinate frame, the lane change

关键词： Trajectory | Decision making | Computer architecture | Planning | Real-time systems | Vehicle dynamics | Hardware

8. Discrete-time double-integral zeroing neural dynamics for time-varying equality-constrained quadratic programming with application to manipulators NSTL国家科技图书文献中心

Qiuhong,Xiang | Hongfang,Gong - 《Neural computing & applications》 - 2025,37(4) - 1905～1918 - 共14页

摘要： equality-constrained quadratic* programming (ECQP* | Neural dynamics remains a crucial field of | interest for researchers, owing to its extensive | applicability in addressing time-varying challenges across | diverse domains. This study innovatively integrates

关键词： Discrete-time | DTDIZND | Time-varying ECQP | Theoretical analyses | Numerical experiments

9. PIECEWISE QUADRATIC LYAPUNOV FUNCTIONS FOR STOCHASTIC DIFFERENTIAL EQUATIONS BY LINEAR PROGRAMMING NSTL国家科技图书文献中心

PETER GIESL | SIGURDUR HAFSTEIN ... - 《Discrete and continuous dynamical systems,Series B》 - 2025,30(6) - 2027～2050 - 共24页

摘要： continuous and piecewise quadratic* (CPQ) Lyapunov functions* | linear programming* (LP). The algorithm is a non-trivial* | We develop an algorithm to parameterize | for stochastic differential equations (SDEs) using | extension of algorithms to parameterize continuous and

关键词： Stochastic differential equation | Lyapunov function | continuous piecewise quadratic function | linear programming | -basin of attraction

10. Multi-model based MPC to improve the ramp rate for renewable energy consumption NSTL国家科技图书文献中心

Ma S. | Ding J. - 《Neurocomputing》 - 2025,611(Jan.1) - 1.1～1.10 - 共10页

摘要： issue is transformed into a quadratic programming | © 2024Accommodating mass renewable energy into | the power grid requires coal-fired power plants to | trace reference trajectory, which varies rapidly and | is prescribed by the power dispatching system. The

摘要： nonnegative quadratic* programming problems is problem* | The choice of relaxation parameter in the | projected successive overrelaxation (PSOR) method for | -dependent. We present novel adaptive PSOR algorithms that | adaptively control the relaxation parameter using the Wolfe

关键词： SOR method | Nonnegative quadratic programming | Nonnegative constrained least squares | Linear complementarity problem

摘要：This paper presents a study on quadratic | programming problems (QPP) and introduces a new neural | network model with feasibility analysis. The stability | analysis of QPP using neural network modeling is also | discussed. The proposed neural network model has a simple

关键词： neural network | quadratic programming problems | stability analysis

摘要： convex quadratic* programming. Two techniques for* | applied to solve an example of time-variant quadratic | programming, and the repetitive motion planning of redundant | Recurrent neural networks (RNNs) are well | established with comprehensive models capable of solving

关键词： Recurrent neural networks | Activation functions | Finite-time convergence | Time-variant quadratic programming

摘要： quadratic programming framework for recurrent neural | problem and study the quadratic* programming (QP* | This article considers the two-stage approach | to solving a partially observable Markov decision | process (POMDP): the identification stage and the

关键词： Training | Recurrent neural networks | Optimization | Neural networks | Quadratic programming | Process control | Prediction algorithms

摘要： through the application of sequential quadratic | programming (SQP) optimization methodology. A CO_2 capture | This study presents a novel comprehensive cost | analysis model aimed at evaluating the economic viability | of post-combustion carbon capture (PCC) processes

关键词： Economy analysis | Sequential quadratic programming (SQP) | Optimization methodology | CO_2 capture efficiency | Thermal energy | CCUS

摘要：-strict hierarchical Quadratic* Programming (QP* | In emerging manufacturing facilities, robots | must enhance their flexibility. They are expected to | perform complex jobs, showing different behaviors on the | need, all within unstructured environments, and

关键词： Optimization and optimal control | Reinforcement learning | Machine learning for robot control

摘要： programming-based decision-making (MIP-DM) system for | mixed-integer quadratic* program (MIQP). The proposed* | We develop a real-time feasible mixed-integer | automated driving (AD). Using a linear vehicle model in a | road-aligned coordinate frame, the lane change

关键词： Trajectory | Decision making | Computer architecture | Planning | Real-time systems | Vehicle dynamics | Hardware

摘要： equality-constrained quadratic* programming (ECQP* | Neural dynamics remains a crucial field of | interest for researchers, owing to its extensive | applicability in addressing time-varying challenges across | diverse domains. This study innovatively integrates

关键词： Discrete-time | DTDIZND | Time-varying ECQP | Theoretical analyses | Numerical experiments

摘要： continuous and piecewise quadratic* (CPQ) Lyapunov functions* | linear programming* (LP). The algorithm is a non-trivial* | We develop an algorithm to parameterize | for stochastic differential equations (SDEs) using | extension of algorithms to parameterize continuous and

关键词： Stochastic differential equation | Lyapunov function | continuous piecewise quadratic function | linear programming | -basin of attraction

摘要： issue is transformed into a quadratic programming | © 2024Accommodating mass renewable energy into | the power grid requires coal-fired power plants to | trace reference trajectory, which varies rapidly and | is prescribed by the power dispatching system. The

关键词： Coordinating control system | Decoupling nets | Model predictive control | Quadratic programming

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： nonnegative quadratic programming problems is problem | The choice of relaxation parameter in the | projected successive overrelaxation (PSOR) method for | -dependent. We present novel adaptive PSOR algorithms that | adaptively control the relaxation parameter using the Wolfe

关键词： SOR method | Nonnegative quadratic programming | Nonnegative constrained least squares | Linear complementarity problem

摘要：This paper presents a study on quadratic | programming problems (QPP) and introduces a new neural | network model with feasibility analysis. The stability | analysis of QPP using neural network modeling is also | discussed. The proposed neural network model has a simple

关键词： neural network | quadratic programming problems | stability analysis

摘要： convex quadratic programming. Two techniques for | applied to solve an example of time-variant quadratic | programming, and the repetitive motion planning of redundant | Recurrent neural networks (RNNs) are well | established with comprehensive models capable of solving

关键词： Recurrent neural networks | Activation functions | Finite-time convergence | Time-variant quadratic programming

摘要： quadratic programming framework for recurrent neural | problem and study the quadratic programming (QP | This article considers the two-stage approach | to solving a partially observable Markov decision | process (POMDP): the identification stage and the

关键词： Training | Recurrent neural networks | Optimization | Neural networks | Quadratic programming | Process control | Prediction algorithms

摘要： through the application of sequential quadratic | programming (SQP) optimization methodology. A CO_2 capture | This study presents a novel comprehensive cost | analysis model aimed at evaluating the economic viability | of post-combustion carbon capture (PCC) processes

关键词： Economy analysis | Sequential quadratic programming (SQP) | Optimization methodology | CO_2 capture efficiency | Thermal energy | CCUS

摘要：-strict hierarchical Quadratic Programming (QP | In emerging manufacturing facilities, robots | must enhance their flexibility. They are expected to | perform complex jobs, showing different behaviors on the | need, all within unstructured environments, and

关键词： Optimization and optimal control | Reinforcement learning | Machine learning for robot control

摘要： programming-based decision-making (MIP-DM) system for | mixed-integer quadratic program (MIQP). The proposed | We develop a real-time feasible mixed-integer | automated driving (AD). Using a linear vehicle model in a | road-aligned coordinate frame, the lane change

关键词： Trajectory | Decision making | Computer architecture | Planning | Real-time systems | Vehicle dynamics | Hardware

摘要： equality-constrained quadratic programming (ECQP | Neural dynamics remains a crucial field of | interest for researchers, owing to its extensive | applicability in addressing time-varying challenges across | diverse domains. This study innovatively integrates

关键词： Discrete-time | DTDIZND | Time-varying ECQP | Theoretical analyses | Numerical experiments

摘要： continuous and piecewise quadratic (CPQ) Lyapunov functions | linear programming (LP). The algorithm is a non-trivial | We develop an algorithm to parameterize | for stochastic differential equations (SDEs) using | extension of algorithms to parameterize continuous and

关键词： Stochastic differential equation | Lyapunov function | continuous piecewise quadratic function | linear programming | -basin of attraction

摘要： issue is transformed into a quadratic programming | © 2024Accommodating mass renewable energy into | the power grid requires coal-fired power plants to | trace reference trajectory, which varies rapidly and | is prescribed by the power dispatching system. The

关键词： Coordinating control system | Decoupling nets | Model predictive control | Quadratic programming

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： nonnegative quadratic* programming problems is problem* | The choice of relaxation parameter in the | projected successive overrelaxation (PSOR) method for | -dependent. We present novel adaptive PSOR algorithms that | adaptively control the relaxation parameter using the Wolfe

摘要： convex quadratic* programming. Two techniques for* | applied to solve an example of time-variant quadratic | programming, and the repetitive motion planning of redundant | Recurrent neural networks (RNNs) are well | established with comprehensive models capable of solving

摘要： quadratic programming framework for recurrent neural | problem and study the quadratic* programming (QP* | This article considers the two-stage approach | to solving a partially observable Markov decision | process (POMDP): the identification stage and the

摘要：-strict hierarchical Quadratic* Programming (QP* | In emerging manufacturing facilities, robots | must enhance their flexibility. They are expected to | perform complex jobs, showing different behaviors on the | need, all within unstructured environments, and

摘要： programming-based decision-making (MIP-DM) system for | mixed-integer quadratic* program (MIQP). The proposed* | We develop a real-time feasible mixed-integer | automated driving (AD). Using a linear vehicle model in a | road-aligned coordinate frame, the lane change

摘要： equality-constrained quadratic* programming (ECQP* | Neural dynamics remains a crucial field of | interest for researchers, owing to its extensive | applicability in addressing time-varying challenges across | diverse domains. This study innovatively integrates

摘要： continuous and piecewise quadratic* (CPQ) Lyapunov functions* | linear programming* (LP). The algorithm is a non-trivial* | We develop an algorithm to parameterize | for stochastic differential equations (SDEs) using | extension of algorithms to parameterize continuous and