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| 1 | A feedback control scheme for reversing a truck and trailer vehicle显示文摘 | Altafini Claudio Speranzon Alberto Wahlberg Bo | 2001 | IEEE Transactions on Robotics and Automation2001，17，6： | 1 |
| 2 | System identification using Kautz models显示文摘 | Bo Wahlberg | 1994 | IEEE Transactions on Automatic Control (S0018-9286)1994，39，6： | 1 |
| 3 | LMS Estimation via Structural Detection 显示文摘 | John Homer lven Mareels Robert R Bitmead Bo Wahlberg Fredrik Gustafsson | 1998 | IEEE Transactions on Signal Processing1998，46，10： | 1 |
| 4 | A feedback control scheme for reversing a truck and trailer vehicle显示文摘 | Altafini Claudio Speranzon Alberto Wahlberg Bo | 2001 | IEEE Transactions on Robotics and Automation2001，17，6： | 1 |
| 5 | ARMA spectral estimation of narrow band processes via model reduction显示文摘 | Wahlberg BO | 1990 | IEEE Trans ASSP1990，38，7： | 1 |
| 6 | LMS Estimation via Structural Detection 显示文摘 | John Homer Iven Mareels Robert R Bitmead Bo Wahlberg Fredrik Gustafsson | 1998 | IEEE Transactions On Signal Processing1998，46，10： | 1 |
| 7 | Hidden Markov Models:Inverse Filtering,Belief Estimation and Privacy Protection显示文摘A hidden Markov model(HMM)comprises a state with Markovian dynamics that can only be observed via noisy sensors.This paper considers three problems connected to HMMs,namely,inverse filtering,belief estimation from actions,and privacy enforcement in such a context.First,the authors discuss how HMM parameters and sensor measurements can be reconstructed from posterior distributions of an HMM filter.Next,the authors consider a rational decision-maker that forms a private belief(posterior distribution)on the state of the world by filtering private information.The authors show how to estimate such posterior distributions from observed optimal actions taken by the agent.In the setting of adversarial systems,the authors finally show how the decision-maker can protect its private belief by confusing the adversary using slightly sub-optimal actions.Applications range from financial portfolio investments to life science decision systems. | LOURENCO Ines MATTILA Robert ROJAS Cristian R. HU Xiaoming WAHLBERG Bo | 2021 | Journal of Systems Science & Complexity2021，34，5： | 0 |
| 8 | Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems显示文摘In this paper, the inverse linear quadratic(LQ) problem over finite time-horizon is studied.Given the output observations of a dynamic process, the goal is to recover the corresponding LQ cost function. Firstly, by considering the inverse problem as an identification problem, its model structure is shown to be strictly globally identifiable under the assumption of system invertibility. Next, in the noiseless case a necessary and sufficient condition is proposed for the solvability of a positive semidefinite weighting matrix and its unique solution is obtained with two proposed algorithms under the condition of persistent excitation. Furthermore, a residual optimization problem is also formulated to solve a best-fit approximate cost function from sub-optimal observations. Finally, numerical simulations are used to demonstrate the effectiveness of the proposed methods. | LI Yibei WAHLBERG Bo HU Xiaoming | 2021 | Journal of Systems Science & Complexity2021，34，5： | 0 |
| 9 | WARA-PS:a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation显示文摘A research arena(WARA-PS)for sensing,data fusion,user interaction,planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented.The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges.The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration.This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles.The motivating application for the demonstration is marine search and rescue operations.A state-of-art delegation framework for the mission planning together with three specific applications is also presented.The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles.The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles,and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments.The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility.It would be most difficult to do experiments on this large scale without the WARA-PS research arena.Furthermore,these demonstrator activities have resulted in effective research dissemination with high public visibility,business impact and new research collaborations between academia and industry. | Olov Andersson Patrick Doherty Mårten Lager Jens-Olof Lindh Linnea Persson Elin A.Topp Jesper Tordenlid Bo Wahlberg | 2021 | Autonomous Intelligent Systems2021，1，1： | 0 |
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